About The Position

The Vice President of Data, AI and Digital Enablement within GOSCQ will lead the strategy, governance, and execution of master data processes across global operations, supply chain, and quality functions. This role ensures that operational master data, spanning materials, suppliers, customers, and manufacturing processes, is accurate , and aligned with business objectives . The VP will partner closely with IT to enable digital transformation initiatives, ensuring that data governance and stewardship are embedded in operational excellence and quality systems.

Requirements

  • Bachelor’s degree in Supply Chain Management , Operations, Quality, or related field.
  • 15+ years in operations, supply chain, or quality leadership roles, with significant experience in master data management.
  • Proven track record of implementing data governance frameworks and driving operational improvements through data quality.
  • Deep understanding of supply chain and quality processes.
  • Strong knowledge of ERP and Quality Management Systems.
  • Excellent leadership, communication, and change management skills.
  • Exceptional strategic planning and problem-solving abilities with a data-driven a pproach
  • Creative problem solver who encourages appropriate risk-taking and leads with humility
  • Strong leadership and communication skills; able to influence at all levels and build high-performing teams
  • Collaborative leadership style and proven success in a matrixed organization
  • Strong understanding of ERP and digital platforms, data governance, and master data processes
  • Demonstrated talent development, aligned with PACE values
  • Ability to thrive in a fast-paced environment while managing multiple priorities
  • Willingness to travel domestically and internationally as needed (up to 30–50%)

Nice To Haves

  • Master’s degree or MBA preferred.

Responsibilities

  • Develop and execute a comprehensive MDM strategy for GOSCQ aligned with enterprise data governance and digital transformation goals.
  • Establish policies, standards, and frameworks for master data quality, integrity, and compliance across supply chain and quality processes.
  • Drive integration of MDM into core operational processes such as SI&OP, MRP, and Total Quality Management.
  • Collaborate with IT to ensure technology platforms support robust master data structures and workflows.
  • Ensure that data and related capabilities exist to enable the deployment of AI / ML within the Entegris environment
  • Define and enforce data ownership and stewardship roles within GOSCQ.
  • Implement controls and monitoring to maintain high-quality master data across global sites.
  • Ensure compliance with regulatory and industry standards for data management.
  • Embed master data management into supply chain planning, sourcing, manufacturing, and quality processes to improve predictability, reliability, and transparency.
  • Support network optimization and logistics planning through reliable master data foundations.
  • Lead the development and integration of Manufacturing Data Science capabilities to strengthen process insight, operational performance, and data driven decision making across global operations.
  • Act as the primary GOSCQ representative in enterprise data governance forums.
  • Work closely with IT to align on data architecture, integration, and analytics initiatives.
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