-
Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development and extension (including AIModel and Identity entities), metadata standards, data-quality management (target>99%), integration pipelines, and lifecycle policies.
- Lead the design and implementation of the enterprise data architecture, including the Azure Data Lakehouse, Purview governance layer, Synapse analytics environment, Data Factory pipelines, and machine-learning workspaces.
- Drive ontology enforcement through JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities, including RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage standers across all assets.
- Partner closely with the parallel Sr Director - Data Strategy and Governance to make policies technically enforceable.
- Deliver measurable outcomes such as 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Job-Specific Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development/extension (including AIModel and Identity entities), metadata standards, data quality (>99% target), integration pipelines, and lifecycle policies.
- Design and implement the enterprise data architecture: Azure Data Lakehouse, Purview governance layer, Synapse analytics, Data Factory pipelines, and ML workspaces.
- Drive ontology enforcement via JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities: RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage across all assets.
- Partner closely with the parallel Senior Director (Data Strategy & Governance) to make policies technically enforceable.
- Deliver measurable outcomes: 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 12+ years of relevant professional experience required.
- Familiarity with DoD, IC, and Federal missions, functions, tasks, and systems environments required.
Job-Specific Minimum Requirements:
- 10+ years in data architecture, ontology/semantics, data management, or enterprise data platform leadership in complex, regulated environments (US federal, state, or local service, gove...
....Read more...
Type: Permanent Location: Springfield, US-MO
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:58
-
Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development and extension (including AIModel and Identity entities), metadata standards, data-quality management (target>99%), integration pipelines, and lifecycle policies.
- Lead the design and implementation of the enterprise data architecture, including the Azure Data Lakehouse, Purview governance layer, Synapse analytics environment, Data Factory pipelines, and machine-learning workspaces.
- Drive ontology enforcement through JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities, including RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage standers across all assets.
- Partner closely with the parallel Sr Director - Data Strategy and Governance to make policies technically enforceable.
- Deliver measurable outcomes such as 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Job-Specific Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development/extension (including AIModel and Identity entities), metadata standards, data quality (>99% target), integration pipelines, and lifecycle policies.
- Design and implement the enterprise data architecture: Azure Data Lakehouse, Purview governance layer, Synapse analytics, Data Factory pipelines, and ML workspaces.
- Drive ontology enforcement via JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities: RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage across all assets.
- Partner closely with the parallel Senior Director (Data Strategy & Governance) to make policies technically enforceable.
- Deliver measurable outcomes: 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 12+ years of relevant professional experience required.
- Familiarity with DoD, IC, and Federal missions, functions, tasks, and systems environments required.
Job-Specific Minimum Requirements:
- 10+ years in data architecture, ontology/semantics, data management, or enterprise data platform leadership in complex, regulated environments (US federal, state, or local service, gove...
....Read more...
Type: Permanent Location: Kansas City, US-MO
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:57
-
Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development and extension (including AIModel and Identity entities), metadata standards, data-quality management (target>99%), integration pipelines, and lifecycle policies.
- Lead the design and implementation of the enterprise data architecture, including the Azure Data Lakehouse, Purview governance layer, Synapse analytics environment, Data Factory pipelines, and machine-learning workspaces.
- Drive ontology enforcement through JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities, including RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage standers across all assets.
- Partner closely with the parallel Sr Director - Data Strategy and Governance to make policies technically enforceable.
- Deliver measurable outcomes such as 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Job-Specific Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development/extension (including AIModel and Identity entities), metadata standards, data quality (>99% target), integration pipelines, and lifecycle policies.
- Design and implement the enterprise data architecture: Azure Data Lakehouse, Purview governance layer, Synapse analytics, Data Factory pipelines, and ML workspaces.
- Drive ontology enforcement via JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities: RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage across all assets.
- Partner closely with the parallel Senior Director (Data Strategy & Governance) to make policies technically enforceable.
- Deliver measurable outcomes: 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 12+ years of relevant professional experience required.
- Familiarity with DoD, IC, and Federal missions, functions, tasks, and systems environments required.
Job-Specific Minimum Requirements:
- 10+ years in data architecture, ontology/semantics, data management, or enterprise data platform leadership in complex, regulated environments (US federal, state, or local service, gove...
....Read more...
Type: Permanent Location: Billings, US-MT
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:57
-
Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development and extension (including AIModel and Identity entities), metadata standards, data-quality management (target>99%), integration pipelines, and lifecycle policies.
- Lead the design and implementation of the enterprise data architecture, including the Azure Data Lakehouse, Purview governance layer, Synapse analytics environment, Data Factory pipelines, and machine-learning workspaces.
- Drive ontology enforcement through JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities, including RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage standers across all assets.
- Partner closely with the parallel Sr Director - Data Strategy and Governance to make policies technically enforceable.
- Deliver measurable outcomes such as 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Job-Specific Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development/extension (including AIModel and Identity entities), metadata standards, data quality (>99% target), integration pipelines, and lifecycle policies.
- Design and implement the enterprise data architecture: Azure Data Lakehouse, Purview governance layer, Synapse analytics, Data Factory pipelines, and ML workspaces.
- Drive ontology enforcement via JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities: RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage across all assets.
- Partner closely with the parallel Senior Director (Data Strategy & Governance) to make policies technically enforceable.
- Deliver measurable outcomes: 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 12+ years of relevant professional experience required.
- Familiarity with DoD, IC, and Federal missions, functions, tasks, and systems environments required.
Job-Specific Minimum Requirements:
- 10+ years in data architecture, ontology/semantics, data management, or enterprise data platform leadership in complex, regulated environments (US federal, state, or local service, gove...
....Read more...
Type: Permanent Location: Tupelo, US-MS
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:56
-
Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development and extension (including AIModel and Identity entities), metadata standards, data-quality management (target>99%), integration pipelines, and lifecycle policies.
- Lead the design and implementation of the enterprise data architecture, including the Azure Data Lakehouse, Purview governance layer, Synapse analytics environment, Data Factory pipelines, and machine-learning workspaces.
- Drive ontology enforcement through JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities, including RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage standers across all assets.
- Partner closely with the parallel Sr Director - Data Strategy and Governance to make policies technically enforceable.
- Deliver measurable outcomes such as 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Job-Specific Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development/extension (including AIModel and Identity entities), metadata standards, data quality (>99% target), integration pipelines, and lifecycle policies.
- Design and implement the enterprise data architecture: Azure Data Lakehouse, Purview governance layer, Synapse analytics, Data Factory pipelines, and ML workspaces.
- Drive ontology enforcement via JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities: RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage across all assets.
- Partner closely with the parallel Senior Director (Data Strategy & Governance) to make policies technically enforceable.
- Deliver measurable outcomes: 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 12+ years of relevant professional experience required.
- Familiarity with DoD, IC, and Federal missions, functions, tasks, and systems environments required.
Job-Specific Minimum Requirements:
- 10+ years in data architecture, ontology/semantics, data management, or enterprise data platform leadership in complex, regulated environments (US federal, state, or local service, gove...
....Read more...
Type: Permanent Location: Jackson, US-MS
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:55
-
Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development and extension (including AIModel and Identity entities), metadata standards, data-quality management (target>99%), integration pipelines, and lifecycle policies.
- Lead the design and implementation of the enterprise data architecture, including the Azure Data Lakehouse, Purview governance layer, Synapse analytics environment, Data Factory pipelines, and machine-learning workspaces.
- Drive ontology enforcement through JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities, including RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage standers across all assets.
- Partner closely with the parallel Sr Director - Data Strategy and Governance to make policies technically enforceable.
- Deliver measurable outcomes such as 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Job-Specific Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development/extension (including AIModel and Identity entities), metadata standards, data quality (>99% target), integration pipelines, and lifecycle policies.
- Design and implement the enterprise data architecture: Azure Data Lakehouse, Purview governance layer, Synapse analytics, Data Factory pipelines, and ML workspaces.
- Drive ontology enforcement via JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities: RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage across all assets.
- Partner closely with the parallel Senior Director (Data Strategy & Governance) to make policies technically enforceable.
- Deliver measurable outcomes: 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 12+ years of relevant professional experience required.
- Familiarity with DoD, IC, and Federal missions, functions, tasks, and systems environments required.
Job-Specific Minimum Requirements:
- 10+ years in data architecture, ontology/semantics, data management, or enterprise data platform leadership in complex, regulated environments (US federal, state, or local service, gove...
....Read more...
Type: Permanent Location: Minneapolis, US-MN
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:55
-
Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development and extension (including AIModel and Identity entities), metadata standards, data-quality management (target>99%), integration pipelines, and lifecycle policies.
- Lead the design and implementation of the enterprise data architecture, including the Azure Data Lakehouse, Purview governance layer, Synapse analytics environment, Data Factory pipelines, and machine-learning workspaces.
- Drive ontology enforcement through JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities, including RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage standers across all assets.
- Partner closely with the parallel Sr Director - Data Strategy and Governance to make policies technically enforceable.
- Deliver measurable outcomes such as 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Job-Specific Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development/extension (including AIModel and Identity entities), metadata standards, data quality (>99% target), integration pipelines, and lifecycle policies.
- Design and implement the enterprise data architecture: Azure Data Lakehouse, Purview governance layer, Synapse analytics, Data Factory pipelines, and ML workspaces.
- Drive ontology enforcement via JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities: RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage across all assets.
- Partner closely with the parallel Senior Director (Data Strategy & Governance) to make policies technically enforceable.
- Deliver measurable outcomes: 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 12+ years of relevant professional experience required.
- Familiarity with DoD, IC, and Federal missions, functions, tasks, and systems environments required.
Job-Specific Minimum Requirements:
- 10+ years in data architecture, ontology/semantics, data management, or enterprise data platform leadership in complex, regulated environments (US federal, state, or local service, gove...
....Read more...
Type: Permanent Location: Hattiesburg, US-MS
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:54
-
Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development and extension (including AIModel and Identity entities), metadata standards, data-quality management (target>99%), integration pipelines, and lifecycle policies.
- Lead the design and implementation of the enterprise data architecture, including the Azure Data Lakehouse, Purview governance layer, Synapse analytics environment, Data Factory pipelines, and machine-learning workspaces.
- Drive ontology enforcement through JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities, including RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage standers across all assets.
- Partner closely with the parallel Sr Director - Data Strategy and Governance to make policies technically enforceable.
- Deliver measurable outcomes such as 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Job-Specific Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development/extension (including AIModel and Identity entities), metadata standards, data quality (>99% target), integration pipelines, and lifecycle policies.
- Design and implement the enterprise data architecture: Azure Data Lakehouse, Purview governance layer, Synapse analytics, Data Factory pipelines, and ML workspaces.
- Drive ontology enforcement via JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities: RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage across all assets.
- Partner closely with the parallel Senior Director (Data Strategy & Governance) to make policies technically enforceable.
- Deliver measurable outcomes: 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 12+ years of relevant professional experience required.
- Familiarity with DoD, IC, and Federal missions, functions, tasks, and systems environments required.
Job-Specific Minimum Requirements:
- 10+ years in data architecture, ontology/semantics, data management, or enterprise data platform leadership in complex, regulated environments (US federal, state, or local service, gove...
....Read more...
Type: Permanent Location: Boston, US-MA
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:53
-
Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development and extension (including AIModel and Identity entities), metadata standards, data-quality management (target>99%), integration pipelines, and lifecycle policies.
- Lead the design and implementation of the enterprise data architecture, including the Azure Data Lakehouse, Purview governance layer, Synapse analytics environment, Data Factory pipelines, and machine-learning workspaces.
- Drive ontology enforcement through JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities, including RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage standers across all assets.
- Partner closely with the parallel Sr Director - Data Strategy and Governance to make policies technically enforceable.
- Deliver measurable outcomes such as 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Job-Specific Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development/extension (including AIModel and Identity entities), metadata standards, data quality (>99% target), integration pipelines, and lifecycle policies.
- Design and implement the enterprise data architecture: Azure Data Lakehouse, Purview governance layer, Synapse analytics, Data Factory pipelines, and ML workspaces.
- Drive ontology enforcement via JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities: RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage across all assets.
- Partner closely with the parallel Senior Director (Data Strategy & Governance) to make policies technically enforceable.
- Deliver measurable outcomes: 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 12+ years of relevant professional experience required.
- Familiarity with DoD, IC, and Federal missions, functions, tasks, and systems environments required.
Job-Specific Minimum Requirements:
- 10+ years in data architecture, ontology/semantics, data management, or enterprise data platform leadership in complex, regulated environments (US federal, state, or local service, gove...
....Read more...
Type: Permanent Location: Duluth, US-MN
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:53
-
Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development and extension (including AIModel and Identity entities), metadata standards, data-quality management (target>99%), integration pipelines, and lifecycle policies.
- Lead the design and implementation of the enterprise data architecture, including the Azure Data Lakehouse, Purview governance layer, Synapse analytics environment, Data Factory pipelines, and machine-learning workspaces.
- Drive ontology enforcement through JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities, including RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage standers across all assets.
- Partner closely with the parallel Sr Director - Data Strategy and Governance to make policies technically enforceable.
- Deliver measurable outcomes such as 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Job-Specific Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development/extension (including AIModel and Identity entities), metadata standards, data quality (>99% target), integration pipelines, and lifecycle policies.
- Design and implement the enterprise data architecture: Azure Data Lakehouse, Purview governance layer, Synapse analytics, Data Factory pipelines, and ML workspaces.
- Drive ontology enforcement via JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities: RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage across all assets.
- Partner closely with the parallel Senior Director (Data Strategy & Governance) to make policies technically enforceable.
- Deliver measurable outcomes: 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 12+ years of relevant professional experience required.
- Familiarity with DoD, IC, and Federal missions, functions, tasks, and systems environments required.
Job-Specific Minimum Requirements:
- 10+ years in data architecture, ontology/semantics, data management, or enterprise data platform leadership in complex, regulated environments (US federal, state, or local service, gove...
....Read more...
Type: Permanent Location: Detroit, US-MI
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:52
-
Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development and extension (including AIModel and Identity entities), metadata standards, data-quality management (target>99%), integration pipelines, and lifecycle policies.
- Lead the design and implementation of the enterprise data architecture, including the Azure Data Lakehouse, Purview governance layer, Synapse analytics environment, Data Factory pipelines, and machine-learning workspaces.
- Drive ontology enforcement through JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities, including RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage standers across all assets.
- Partner closely with the parallel Sr Director - Data Strategy and Governance to make policies technically enforceable.
- Deliver measurable outcomes such as 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Job-Specific Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development/extension (including AIModel and Identity entities), metadata standards, data quality (>99% target), integration pipelines, and lifecycle policies.
- Design and implement the enterprise data architecture: Azure Data Lakehouse, Purview governance layer, Synapse analytics, Data Factory pipelines, and ML workspaces.
- Drive ontology enforcement via JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities: RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage across all assets.
- Partner closely with the parallel Senior Director (Data Strategy & Governance) to make policies technically enforceable.
- Deliver measurable outcomes: 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 12+ years of relevant professional experience required.
- Familiarity with DoD, IC, and Federal missions, functions, tasks, and systems environments required.
Job-Specific Minimum Requirements:
- 10+ years in data architecture, ontology/semantics, data management, or enterprise data platform leadership in complex, regulated environments (US federal, state, or local service, gove...
....Read more...
Type: Permanent Location: Aberdeen, US-MD
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:52
-
Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development and extension (including AIModel and Identity entities), metadata standards, data-quality management (target>99%), integration pipelines, and lifecycle policies.
- Lead the design and implementation of the enterprise data architecture, including the Azure Data Lakehouse, Purview governance layer, Synapse analytics environment, Data Factory pipelines, and machine-learning workspaces.
- Drive ontology enforcement through JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities, including RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage standers across all assets.
- Partner closely with the parallel Sr Director - Data Strategy and Governance to make policies technically enforceable.
- Deliver measurable outcomes such as 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Job-Specific Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development/extension (including AIModel and Identity entities), metadata standards, data quality (>99% target), integration pipelines, and lifecycle policies.
- Design and implement the enterprise data architecture: Azure Data Lakehouse, Purview governance layer, Synapse analytics, Data Factory pipelines, and ML workspaces.
- Drive ontology enforcement via JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities: RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage across all assets.
- Partner closely with the parallel Senior Director (Data Strategy & Governance) to make policies technically enforceable.
- Deliver measurable outcomes: 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 12+ years of relevant professional experience required.
- Familiarity with DoD, IC, and Federal missions, functions, tasks, and systems environments required.
Job-Specific Minimum Requirements:
- 10+ years in data architecture, ontology/semantics, data management, or enterprise data platform leadership in complex, regulated environments (US federal, state, or local service, gove...
....Read more...
Type: Permanent Location: Grand Rapids, US-MI
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:51
-
Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development and extension (including AIModel and Identity entities), metadata standards, data-quality management (target>99%), integration pipelines, and lifecycle policies.
- Lead the design and implementation of the enterprise data architecture, including the Azure Data Lakehouse, Purview governance layer, Synapse analytics environment, Data Factory pipelines, and machine-learning workspaces.
- Drive ontology enforcement through JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities, including RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage standers across all assets.
- Partner closely with the parallel Sr Director - Data Strategy and Governance to make policies technically enforceable.
- Deliver measurable outcomes such as 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Job-Specific Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development/extension (including AIModel and Identity entities), metadata standards, data quality (>99% target), integration pipelines, and lifecycle policies.
- Design and implement the enterprise data architecture: Azure Data Lakehouse, Purview governance layer, Synapse analytics, Data Factory pipelines, and ML workspaces.
- Drive ontology enforcement via JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities: RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage across all assets.
- Partner closely with the parallel Senior Director (Data Strategy & Governance) to make policies technically enforceable.
- Deliver measurable outcomes: 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 12+ years of relevant professional experience required.
- Familiarity with DoD, IC, and Federal missions, functions, tasks, and systems environments required.
Job-Specific Minimum Requirements:
- 10+ years in data architecture, ontology/semantics, data management, or enterprise data platform leadership in complex, regulated environments (US federal, state, or local service, gove...
....Read more...
Type: Permanent Location: Marquette, US-MI
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:50
-
Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development and extension (including AIModel and Identity entities), metadata standards, data-quality management (target>99%), integration pipelines, and lifecycle policies.
- Lead the design and implementation of the enterprise data architecture, including the Azure Data Lakehouse, Purview governance layer, Synapse analytics environment, Data Factory pipelines, and machine-learning workspaces.
- Drive ontology enforcement through JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities, including RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage standers across all assets.
- Partner closely with the parallel Sr Director - Data Strategy and Governance to make policies technically enforceable.
- Deliver measurable outcomes such as 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Job-Specific Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development/extension (including AIModel and Identity entities), metadata standards, data quality (>99% target), integration pipelines, and lifecycle policies.
- Design and implement the enterprise data architecture: Azure Data Lakehouse, Purview governance layer, Synapse analytics, Data Factory pipelines, and ML workspaces.
- Drive ontology enforcement via JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities: RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage across all assets.
- Partner closely with the parallel Senior Director (Data Strategy & Governance) to make policies technically enforceable.
- Deliver measurable outcomes: 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 12+ years of relevant professional experience required.
- Familiarity with DoD, IC, and Federal missions, functions, tasks, and systems environments required.
Job-Specific Minimum Requirements:
- 10+ years in data architecture, ontology/semantics, data management, or enterprise data platform leadership in complex, regulated environments (US federal, state, or local service, gove...
....Read more...
Type: Permanent Location: Springfield, US-MA
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:50
-
Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development and extension (including AIModel and Identity entities), metadata standards, data-quality management (target>99%), integration pipelines, and lifecycle policies.
- Lead the design and implementation of the enterprise data architecture, including the Azure Data Lakehouse, Purview governance layer, Synapse analytics environment, Data Factory pipelines, and machine-learning workspaces.
- Drive ontology enforcement through JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities, including RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage standers across all assets.
- Partner closely with the parallel Sr Director - Data Strategy and Governance to make policies technically enforceable.
- Deliver measurable outcomes such as 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Job-Specific Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development/extension (including AIModel and Identity entities), metadata standards, data quality (>99% target), integration pipelines, and lifecycle policies.
- Design and implement the enterprise data architecture: Azure Data Lakehouse, Purview governance layer, Synapse analytics, Data Factory pipelines, and ML workspaces.
- Drive ontology enforcement via JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities: RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage across all assets.
- Partner closely with the parallel Senior Director (Data Strategy & Governance) to make policies technically enforceable.
- Deliver measurable outcomes: 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 12+ years of relevant professional experience required.
- Familiarity with DoD, IC, and Federal missions, functions, tasks, and systems environments required.
Job-Specific Minimum Requirements:
- 10+ years in data architecture, ontology/semantics, data management, or enterprise data platform leadership in complex, regulated environments (US federal, state, or local service, gove...
....Read more...
Type: Permanent Location: Baltimore, US-MD
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:49
-
Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development and extension (including AIModel and Identity entities), metadata standards, data-quality management (target>99%), integration pipelines, and lifecycle policies.
- Lead the design and implementation of the enterprise data architecture, including the Azure Data Lakehouse, Purview governance layer, Synapse analytics environment, Data Factory pipelines, and machine-learning workspaces.
- Drive ontology enforcement through JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities, including RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage standers across all assets.
- Partner closely with the parallel Sr Director - Data Strategy and Governance to make policies technically enforceable.
- Deliver measurable outcomes such as 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Job-Specific Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development/extension (including AIModel and Identity entities), metadata standards, data quality (>99% target), integration pipelines, and lifecycle policies.
- Design and implement the enterprise data architecture: Azure Data Lakehouse, Purview governance layer, Synapse analytics, Data Factory pipelines, and ML workspaces.
- Drive ontology enforcement via JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities: RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage across all assets.
- Partner closely with the parallel Senior Director (Data Strategy & Governance) to make policies technically enforceable.
- Deliver measurable outcomes: 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 12+ years of relevant professional experience required.
- Familiarity with DoD, IC, and Federal missions, functions, tasks, and systems environments required.
Job-Specific Minimum Requirements:
- 10+ years in data architecture, ontology/semantics, data management, or enterprise data platform leadership in complex, regulated environments (US federal, state, or local service, gove...
....Read more...
Type: Permanent Location: Bangor, US-ME
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:48
-
Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development and extension (including AIModel and Identity entities), metadata standards, data-quality management (target>99%), integration pipelines, and lifecycle policies.
- Lead the design and implementation of the enterprise data architecture, including the Azure Data Lakehouse, Purview governance layer, Synapse analytics environment, Data Factory pipelines, and machine-learning workspaces.
- Drive ontology enforcement through JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities, including RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage standers across all assets.
- Partner closely with the parallel Sr Director - Data Strategy and Governance to make policies technically enforceable.
- Deliver measurable outcomes such as 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Job-Specific Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development/extension (including AIModel and Identity entities), metadata standards, data quality (>99% target), integration pipelines, and lifecycle policies.
- Design and implement the enterprise data architecture: Azure Data Lakehouse, Purview governance layer, Synapse analytics, Data Factory pipelines, and ML workspaces.
- Drive ontology enforcement via JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities: RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage across all assets.
- Partner closely with the parallel Senior Director (Data Strategy & Governance) to make policies technically enforceable.
- Deliver measurable outcomes: 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 12+ years of relevant professional experience required.
- Familiarity with DoD, IC, and Federal missions, functions, tasks, and systems environments required.
Job-Specific Minimum Requirements:
- 10+ years in data architecture, ontology/semantics, data management, or enterprise data platform leadership in complex, regulated environments (US federal, state, or local service, gove...
....Read more...
Type: Permanent Location: Shreveport, US-LA
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:48
-
Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development and extension (including AIModel and Identity entities), metadata standards, data-quality management (target>99%), integration pipelines, and lifecycle policies.
- Lead the design and implementation of the enterprise data architecture, including the Azure Data Lakehouse, Purview governance layer, Synapse analytics environment, Data Factory pipelines, and machine-learning workspaces.
- Drive ontology enforcement through JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities, including RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage standers across all assets.
- Partner closely with the parallel Sr Director - Data Strategy and Governance to make policies technically enforceable.
- Deliver measurable outcomes such as 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Job-Specific Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development/extension (including AIModel and Identity entities), metadata standards, data quality (>99% target), integration pipelines, and lifecycle policies.
- Design and implement the enterprise data architecture: Azure Data Lakehouse, Purview governance layer, Synapse analytics, Data Factory pipelines, and ML workspaces.
- Drive ontology enforcement via JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities: RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage across all assets.
- Partner closely with the parallel Senior Director (Data Strategy & Governance) to make policies technically enforceable.
- Deliver measurable outcomes: 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 12+ years of relevant professional experience required.
- Familiarity with DoD, IC, and Federal missions, functions, tasks, and systems environments required.
Job-Specific Minimum Requirements:
- 10+ years in data architecture, ontology/semantics, data management, or enterprise data platform leadership in complex, regulated environments (US federal, state, or local service, gove...
....Read more...
Type: Permanent Location: Baton Rouge, US-LA
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:47
-
Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development and extension (including AIModel and Identity entities), metadata standards, data-quality management (target>99%), integration pipelines, and lifecycle policies.
- Lead the design and implementation of the enterprise data architecture, including the Azure Data Lakehouse, Purview governance layer, Synapse analytics environment, Data Factory pipelines, and machine-learning workspaces.
- Drive ontology enforcement through JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities, including RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage standers across all assets.
- Partner closely with the parallel Sr Director - Data Strategy and Governance to make policies technically enforceable.
- Deliver measurable outcomes such as 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Job-Specific Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development/extension (including AIModel and Identity entities), metadata standards, data quality (>99% target), integration pipelines, and lifecycle policies.
- Design and implement the enterprise data architecture: Azure Data Lakehouse, Purview governance layer, Synapse analytics, Data Factory pipelines, and ML workspaces.
- Drive ontology enforcement via JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities: RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage across all assets.
- Partner closely with the parallel Senior Director (Data Strategy & Governance) to make policies technically enforceable.
- Deliver measurable outcomes: 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 12+ years of relevant professional experience required.
- Familiarity with DoD, IC, and Federal missions, functions, tasks, and systems environments required.
Job-Specific Minimum Requirements:
- 10+ years in data architecture, ontology/semantics, data management, or enterprise data platform leadership in complex, regulated environments (US federal, state, or local service, gove...
....Read more...
Type: Permanent Location: New Orleans, US-LA
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:46
-
Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development and extension (including AIModel and Identity entities), metadata standards, data-quality management (target>99%), integration pipelines, and lifecycle policies.
- Lead the design and implementation of the enterprise data architecture, including the Azure Data Lakehouse, Purview governance layer, Synapse analytics environment, Data Factory pipelines, and machine-learning workspaces.
- Drive ontology enforcement through JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities, including RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage standers across all assets.
- Partner closely with the parallel Sr Director - Data Strategy and Governance to make policies technically enforceable.
- Deliver measurable outcomes such as 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Job-Specific Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development/extension (including AIModel and Identity entities), metadata standards, data quality (>99% target), integration pipelines, and lifecycle policies.
- Design and implement the enterprise data architecture: Azure Data Lakehouse, Purview governance layer, Synapse analytics, Data Factory pipelines, and ML workspaces.
- Drive ontology enforcement via JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities: RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage across all assets.
- Partner closely with the parallel Senior Director (Data Strategy & Governance) to make policies technically enforceable.
- Deliver measurable outcomes: 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 12+ years of relevant professional experience required.
- Familiarity with DoD, IC, and Federal missions, functions, tasks, and systems environments required.
Job-Specific Minimum Requirements:
- 10+ years in data architecture, ontology/semantics, data management, or enterprise data platform leadership in complex, regulated environments (US federal, state, or local service, gove...
....Read more...
Type: Permanent Location: Portland, US-ME
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:46
-
Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development and extension (including AIModel and Identity entities), metadata standards, data-quality management (target>99%), integration pipelines, and lifecycle policies.
- Lead the design and implementation of the enterprise data architecture, including the Azure Data Lakehouse, Purview governance layer, Synapse analytics environment, Data Factory pipelines, and machine-learning workspaces.
- Drive ontology enforcement through JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities, including RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage standers across all assets.
- Partner closely with the parallel Sr Director - Data Strategy and Governance to make policies technically enforceable.
- Deliver measurable outcomes such as 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Job-Specific Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development/extension (including AIModel and Identity entities), metadata standards, data quality (>99% target), integration pipelines, and lifecycle policies.
- Design and implement the enterprise data architecture: Azure Data Lakehouse, Purview governance layer, Synapse analytics, Data Factory pipelines, and ML workspaces.
- Drive ontology enforcement via JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities: RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage across all assets.
- Partner closely with the parallel Senior Director (Data Strategy & Governance) to make policies technically enforceable.
- Deliver measurable outcomes: 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 12+ years of relevant professional experience required.
- Familiarity with DoD, IC, and Federal missions, functions, tasks, and systems environments required.
Job-Specific Minimum Requirements:
- 10+ years in data architecture, ontology/semantics, data management, or enterprise data platform leadership in complex, regulated environments (US federal, state, or local service, gove...
....Read more...
Type: Permanent Location: Kansas City, US-KS
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:45
-
Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development and extension (including AIModel and Identity entities), metadata standards, data-quality management (target>99%), integration pipelines, and lifecycle policies.
- Lead the design and implementation of the enterprise data architecture, including the Azure Data Lakehouse, Purview governance layer, Synapse analytics environment, Data Factory pipelines, and machine-learning workspaces.
- Drive ontology enforcement through JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities, including RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage standers across all assets.
- Partner closely with the parallel Sr Director - Data Strategy and Governance to make policies technically enforceable.
- Deliver measurable outcomes such as 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Job-Specific Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development/extension (including AIModel and Identity entities), metadata standards, data quality (>99% target), integration pipelines, and lifecycle policies.
- Design and implement the enterprise data architecture: Azure Data Lakehouse, Purview governance layer, Synapse analytics, Data Factory pipelines, and ML workspaces.
- Drive ontology enforcement via JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities: RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage across all assets.
- Partner closely with the parallel Senior Director (Data Strategy & Governance) to make policies technically enforceable.
- Deliver measurable outcomes: 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 12+ years of relevant professional experience required.
- Familiarity with DoD, IC, and Federal missions, functions, tasks, and systems environments required.
Job-Specific Minimum Requirements:
- 10+ years in data architecture, ontology/semantics, data management, or enterprise data platform leadership in complex, regulated environments (US federal, state, or local service, gove...
....Read more...
Type: Permanent Location: Bowling Green, US-KY
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:44
-
Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development and extension (including AIModel and Identity entities), metadata standards, data-quality management (target>99%), integration pipelines, and lifecycle policies.
- Lead the design and implementation of the enterprise data architecture, including the Azure Data Lakehouse, Purview governance layer, Synapse analytics environment, Data Factory pipelines, and machine-learning workspaces.
- Drive ontology enforcement through JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities, including RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage standers across all assets.
- Partner closely with the parallel Sr Director - Data Strategy and Governance to make policies technically enforceable.
- Deliver measurable outcomes such as 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Job-Specific Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development/extension (including AIModel and Identity entities), metadata standards, data quality (>99% target), integration pipelines, and lifecycle policies.
- Design and implement the enterprise data architecture: Azure Data Lakehouse, Purview governance layer, Synapse analytics, Data Factory pipelines, and ML workspaces.
- Drive ontology enforcement via JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities: RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage across all assets.
- Partner closely with the parallel Senior Director (Data Strategy & Governance) to make policies technically enforceable.
- Deliver measurable outcomes: 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 12+ years of relevant professional experience required.
- Familiarity with DoD, IC, and Federal missions, functions, tasks, and systems environments required.
Job-Specific Minimum Requirements:
- 10+ years in data architecture, ontology/semantics, data management, or enterprise data platform leadership in complex, regulated environments (US federal, state, or local service, gove...
....Read more...
Type: Permanent Location: Wichita, US-KS
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:44
-
Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development and extension (including AIModel and Identity entities), metadata standards, data-quality management (target>99%), integration pipelines, and lifecycle policies.
- Lead the design and implementation of the enterprise data architecture, including the Azure Data Lakehouse, Purview governance layer, Synapse analytics environment, Data Factory pipelines, and machine-learning workspaces.
- Drive ontology enforcement through JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities, including RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage standers across all assets.
- Partner closely with the parallel Sr Director - Data Strategy and Governance to make policies technically enforceable.
- Deliver measurable outcomes such as 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Job-Specific Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development/extension (including AIModel and Identity entities), metadata standards, data quality (>99% target), integration pipelines, and lifecycle policies.
- Design and implement the enterprise data architecture: Azure Data Lakehouse, Purview governance layer, Synapse analytics, Data Factory pipelines, and ML workspaces.
- Drive ontology enforcement via JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities: RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage across all assets.
- Partner closely with the parallel Senior Director (Data Strategy & Governance) to make policies technically enforceable.
- Deliver measurable outcomes: 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 12+ years of relevant professional experience required.
- Familiarity with DoD, IC, and Federal missions, functions, tasks, and systems environments required.
Job-Specific Minimum Requirements:
- 10+ years in data architecture, ontology/semantics, data management, or enterprise data platform leadership in complex, regulated environments (US federal, state, or local service, gove...
....Read more...
Type: Permanent Location: Louisville, US-KY
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:43
-
Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development and extension (including AIModel and Identity entities), metadata standards, data-quality management (target>99%), integration pipelines, and lifecycle policies.
- Lead the design and implementation of the enterprise data architecture, including the Azure Data Lakehouse, Purview governance layer, Synapse analytics environment, Data Factory pipelines, and machine-learning workspaces.
- Drive ontology enforcement through JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities, including RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage standers across all assets.
- Partner closely with the parallel Sr Director - Data Strategy and Governance to make policies technically enforceable.
- Deliver measurable outcomes such as 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Job-Specific Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development/extension (including AIModel and Identity entities), metadata standards, data quality (>99% target), integration pipelines, and lifecycle policies.
- Design and implement the enterprise data architecture: Azure Data Lakehouse, Purview governance layer, Synapse analytics, Data Factory pipelines, and ML workspaces.
- Drive ontology enforcement via JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities: RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage across all assets.
- Partner closely with the parallel Senior Director (Data Strategy & Governance) to make policies technically enforceable.
- Deliver measurable outcomes: 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10-15% revenue uplift / 15-25% cost reduction.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 12+ years of relevant professional experience required.
- Familiarity with DoD, IC, and Federal missions, functions, tasks, and systems environments required.
Job-Specific Minimum Requirements:
- 10+ years in data architecture, ontology/semantics, data management, or enterprise data platform leadership in complex, regulated environments (US federal, state, or local service, gove...
....Read more...
Type: Permanent Location: Davenport, US-IA
Salary / Rate: Not Specified
Posted: 2026-04-01 08:25:43
