Data Architecture & Governance Associate Principal

This role is the responsible data governance leader for the Procurement Hub capability of the Digital Procurement program, ensuring trusted, high-quality and well-governed data for this critical Supply Chain initiatives. This person will drive key governance deliverables —including data assessments, metadata management, data quality standards, and remediation—while partnering with business, Digital, and technical teams to enable scalable analytics and AI outcomes.

• Lead Procurement Hub metadata mgmt. to drive understanding of data, increase EDF Data reusability and enable AI solutions
• Own Procurement Hub data quality mgmt., establishing standards and driving remediation to ensure data is fit for program use
• Ensure compliance with enterprise data security, privacy and retention policies including appropriate access controls, protection, retention, and retrieval for Procurement Hub data
• Partner with IT and business stakeholders to embed stewardship and governance practices into the Procurement Hub capability and Digital Procurement program

• 9+ years of progressive experience in Data Governance, Data Management, or Master Data Management within a global organization, with demonstrated leadership at program or domain level
• Deep expertise in enterprise data management, including data ingestion and integration, governed data usage, data quality management, stewardship operating models, and lifecycle management
• Proven experience working with sourcing, contracts and category mgmt. data and the source to pay processes, including enabling or supporting AI capabilities across planning, operations, or analytics use cases
• Demonstrated ability to lead crossfunctional partnerships with business leaders, product owners, architects, and engineering teams to standardize operational data and drive adoption of enterprise data governance policies and standards
• Experience operating at a program or portfolio level, balancing strategic objectives with execution, risk management, and value realization for digital and analytics initiatives
• Ability to influence without authority and serve as a trusted data steward leader across Manufacturing, Supply Chain, and Digital teams

• 9+ years of progressive experience in Data Governance, Data Management, or Master Data Management within a global organization, with demonstrated leadership at program or domain level
• Deep expertise in enterprise data management, including data ingestion and integration, governed data usage, data quality management, stewardship operating models, and lifecycle management
• Proven experience working with sourcing, contracts and category mgmt. data and the source to pay processes, including enabling or supporting AI capabilities across planning, operations, or analytics use cases
• Demonstrated ability to lead crossfunctional partnerships with business leaders, product owners, architects, and engineering teams to standardize operational data and drive adoption of enterprise data governance policies and standards
• Experience operating at a program or portfolio level, balancing strategic objectives with execution, risk management, and value realization for digital and analytics initiatives
• Ability to influence without authority and serve as a trusted data steward leader across Manufacturing, Supply Chain, and Digital teams