Director of Data Governance, Supply Chain Services

Key Responsibilities

• Define and implement an enterprise DBI governance vision aligned to business strategy, regulatory needs, and digital/AI ambitions.
• Design a scalable governance framework covering data domains, ownership, stewardship, policies, standards, controls, and decision rights.
• Establish a pragmatic governance maturity roadmap, balancing speed-to-value with long-term sustainability.
• Define and stand-up the DBI governance operating model, including roles (DBI owners, data stewards, custodians), forums, and escalation paths.
• Lead the formation of a cross-functional DBI Governance Council and domain-level working groups.
• Drive adoption through clear incentives, lightweight processes, and embedded governance within business workflows.
• Enable harmonization and interoperability across key enterprise domains (e.g., customer, supplier, product, asset, manufacturing, service, finance) while respecting strong functional ownership.
• Define master data and reference DBI concepts, ownership, and synchronization approaches in the absence of a formal MDM tool.
• Establish DBI quality management practices, including critical data elements, quality rules, monitoring, and remediation workflows.
• Define enterprise DBI standards, naming conventions, and semantic alignment to support analytics and AI use cases.
• Lead implementation of metadata management practices (business, technical, and operational metadata), including data lineage and glossary development.
• Develop an assurance process for the DBI associated with each critical data element to ensure that our products and processes continue to meet regulatory standards.
• Comply with KLA’s data-related policies and standards (e.g., data access, classification, retention, privacy, and usage).
• Partner with Legal, Security, Privacy, and Compliance teams to ensure governance supports regulatory and contractual requirements.
• Support audit readiness and risk mitigation related to data.
• Define governance requirements for tools supporting DBI metadata (governing codes and regulations, foundational business and compliance decisions, data element attributes, master/reference data and the associated design specifications), quality, and lineage.
• Evaluate and recommend governance and data management tooling as needed, without assuming immediate MDM deployment.
• Ensure governance is embedded into analytics platforms, ERP, PLM, MES, CRM, and digital platforms.
• Drive cultural adoption of data as an enterprise asset through communication, training, and executive engagement.
• Translate governance concepts into business-relevant outcomes for manufacturing, supply chain, trade, service, engineering, and commercial teams.
• Act as a trusted advisor to senior leaders on supply chain DBI and data-related decisions and tradeoffs.

Required Qualifications & Experience

• 12+ years of experience in data management, data governance, analytics, or related disciplines, with at least 5 years in a senior governance leadership role.
• Direct experience operating within a mature, regulated equipment business environment.
• Demonstrated success building or transforming a governance capabilities in a complex, federated organization.
• Strong understanding of data governance frameworks and practical, real-world regulated market applications.
• Proven ability to influence senior stakeholders and lead through ambiguity and change.
• Preferred Experience in advanced equipment manufacturing, or industrial technology environments and/or experience in a regulated operating environment (aviation, power generation, medical devices, etc.).
• Familiarity with ERP, PLM, MES, CRM, and analytics platforms common in manufacturing ecosystems.
• Experience supporting analytics, AI/ML, or digital transformation initiatives through strong data foundations.
• Prior ownership of DBI, data quality, metadata management, or master/reference data programs.

Skills & Attributes

• Strategic thinker with a pragmatic, execution-oriented mindset.
• Strong business acumen and ability to translate technical governance concepts into operational value.
• Excellent communication and facilitation skills across technical and non-technical audiences.
• Collaborative leader who can work effectively across supply chain, trade, operations, IT, and corporate functions.
• Comfortable building from first principles while leveraging best practices.