Master Data Management Architect

This role plays a critical part in ensuring seamless data integration across ERP, CRM, and Engineering Data Management (PLM/EDM) systems, while defining and governing metadata standards, hierarchies, taxonomies, and data models for master and product data.

The ideal candidate will bring deep technical expertise, business process understanding, and leadership experience within the manufacturing sector, particularly around Infor MDM or similar enterprise MDM/PIM tools.

Key Responsibilities
1.

MDM/PIM Strategy and Architecture



* Define and lead the enterprise MDM/PIM strategy, ensuring alignment with corporate digital transformation goals.


* Architect scalable MDM/PIM solutions that manage key master data domains: Product, Customer, Vendor, Material, and Location.


* Drive data integration architecture between MDM/PIM and enterprise systems — including ERP (Infor LN, etc.), CRM (Microsoft Dynamics, etc.), and Engineering Data Management systems (PLM, EPDM).


* Establish and maintain metadata standards, hierarchies, taxonomies, and data models to support consistent data representation across business functions and systems.


* Define data flows, synchronization strategies, and governance mechanisms to maintain a single, authoritative source of truth.

1.

Solution Delivery and System Ownership



* Manage full lifecycle delivery of MDM/PIM initiatives — from requirements gathering through design, development, testing, and deployment.


* Oversee configuration, customization, and continuous improvement of Infor MDM (or equivalent MDM/PIM system).


* Ensure high data quality, usability, and accessibility across integrated enterprise platforms.


* Collaborate with IT and business teams to translate data requirements into technical designs and functional workflows.

1.

Data Governance and Business Process Design



* Develop and implement data governance frameworks, including ownership models, approval workflows, and data stewardship processes.


* Define and monitor data quality metrics, and implement corrective actions where needed.


* Establish end-to-end business processes for the creation, validation, enrichment, and lifecycle management of master and product data.


* Coordinate with supply chain, engineering, finance, and sales functions to align data processes and ownership.

1.

Integration, Analytics, and Data Enablement



* Design and implement data integration frameworks connecting MDM/PIM systems to ERP, CRM, and Engineering Data Management tools using APIs, ETL, or middleware platforms (e.g., MuleSoft, Boomi, Infor ION).


* Partner with BI and Analytics teams to make curated master data available for reporting, dashboards, and data-driven insights.


* Ensure MDM and PIM architectures support data lineage tracking, metadata management, and downstream analytics platforms (e.g., Power BI, Tableau, Snowflake).

1.

Leadership, Governance, and Change Management...