PXT VP Data Owner - Modeling Lead

1) Data Modeling & Structural Integrity


* Audit and govern relationships between data products to ensure entities, attributes, and models are well-structured and consistently defined across domains.


* Map cross-product dependencies and identify architecture gaps, redundancies, and misalignments.


* Ensure semantic consistency so shared concepts (e.g., customer, account, transaction) have consistent meaning, definitions, and lineage across domains.


* Partner with data engineers and data modelers to enforce standards for data quality, cleanliness, normalization, and maintainability.

2) Domain Coverage & Governance


* Maintain a comprehensive view of all active data domains, ensuring no domain is orphaned or underrepresented in the product taxonomy.


* Drive domain completeness reviews, identifying missing data products and surfacing gaps to leadership and domain owners.


* Establish and maintain data product classifications (e.g., authoritative/golden vs.

derived, curated vs.

raw, operational vs.

analytical).

3) Stakeholder Partnership & Data Sourcing Strategy


* Partner with business stakeholders, data owners, and domain leads to ensure data lands in the right schemas for the right purposes.


* Develop and maintain data sourcing strategies: identify authoritative sources, resolve source conflicts, and plan for future acquisition/coverage.


* Facilitate data discovery sessions and working groups to validate product scope, align definitions, and close sourcing gaps.


* Translate complex technical concepts into clear business language and drive decisions to resolution.

4) Use Case Development & Business Alignment


* Apply a user-first approach to develop use cases tied to concrete business problems, translating stakeholder needs into actionable data product requirements.


* Conduct discovery interviews with business consumers to surface unmet needs and validate whether existing products are sufficient.


* Build and maintain a use-case repository aligned to strategic priorities to support roadmap planning and prioritization.


* Collaborate with analytics and product teams to validate that delivered data products drive measurable business outcomes.

Qualifications


* 5-8 years in data strategy, data architecture, data governance, or data product management within a complex enterprise environment.


* Demonstrated ability to read, interpret, and critique conceptual and logical data models; strong familiarity with ER modeling and metadata frameworks.


* Strong understanding of data governance principles: domains, ownership, stewardship, master/reference data, lineage, and controls.


* Proven track record translating business requirements, data product specifications.


* Experience working across multiple lines of business and domains in a matrixed environment.


* Familiarity with data cataloging/modeling and developer tools (e.g., Unity, AWS, Erwin, Databricks); S...