Data Governance Lead

Responsibilities

• Own the enterprise data governance program — lead strategy, execution, and continuous maturation of governance capabilities across business segments
• Define and enforce standards — develop and maintain data governance policies, standards, and procedures aligned to regulatory requirements, industry best practices, and Westfield's strategic priorities
• Govern critical data — identify, document, and manage the data elements that carry the most business, financial, and regulatory weight; establish quality rules, ownership, and monitoring around them
• Drive data quality — establish quality frameworks, conduct assessments, identify root causes, and lead improvement initiatives that make data trustworthy at the source
• Build the metadata and intelligence foundation — lead the development of a governed metadata environment — data dictionary, business glossary, lineage, and semantic layer — that enables self-service analytics and AI capabilities
• Manage data lifecycle and compliance — ensure data classification, access controls, retention, and privacy obligations are embedded in platform operations and audit-ready
• Engage and align stakeholders — communicate governance concepts credibly to technical and business audiences; earn sign-off, build trust across segments, and represent governance value at CDO and CIO level
• Establish governance operations — create the operational infrastructure — intake, tracking, reporting cadence — that gives the program a heartbeat and keeps delivery visible to leadership
• Lead through change — build organizational capability and momentum in an environment where governance is nascent; demonstrate value early and transition ownership to the business progressively

• 7+ years of experience in data governance, data management, or enterprise data program leadership
• Demonstrated experience defining and executing governance frameworks — CDEs, data classification, data quality, data/metadata management
• Proven ability to lead cross-functional programs with multiple stakeholders and competing priorities
• Strong executive communication skills — you can communicate governance value to business leaders
• Experience driving organizational change in environments where governance is nascent or inconsistent
• Demonstrated experience with modern data platforms and governance tooling (cloud-native data platforms, metadata management, data quality tools)
• Execution-oriented — able to deliver tangible outcomes in a program-building environment
• Demonstrated people leadership — proven ability to assess team capability, close skill gaps through active coaching and development, and hold individuals accountable to a performance standard.
• P&C or broader insurance industry experience — understanding of underwriting, claims, reserving, or regulatory filing data is a significant advantage
• Experience with Snowflake, dbt, Purview, Profisee, or Erwin
• Familiarity with NAIC guidelines, state insurance data regulations, and financial/actuarial data standards
• Experience building governance programs that support AI or advanced analytics enablement
• Background in data stewardship operating model design — hub and spoke, federated, or hybrid models