Master Data Management Architect

Key Responsibilities

• 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.
• 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.

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.
• Cook with supply chain, engineering, finance, and sales functions to align data processes and ownership.

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).

Leadership, Governance, and Change Management

• Lead cross-functional teams to deliver enterprise MDM/PIM solutions and enhancements.
• Provide thought leadership in master data governance, taxonomy management, and data architecture best practices.
• Train and mentor business data stewards, process owners, and technical teams.
• Drive stakeholder alignment and promote a culture of data accountability and ownership across the organization.