Data Governance Lead

Westfield Health

Data Governance Lead for Westfield managing strategies for AI-enabled data governance programs. Focused on critical data governance, quality frameworks, and stakeholder engagement for business alignment.

Posted 6/16/2026full-timeWestfield Center • Ohio • 🇺🇸 United StatesSeniorWebsite

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

data governancedata managementgovernance frameworksdata classificationdata qualitymetadata managementdata stewardshipprogram leadershiporganizational changedata lifecycle management

Soft Skills

executive communicationcross-functional leadershipstakeholder engagementtrust buildingcoaching and developmentperformance accountabilityexecution-orientedchange managementstrategic alignmentorganizational capability building

Tools & Technologies

SnowflakedbtPurviewProfiseeErwincloud-native data platformsdata quality toolsmetadata toolsanalytics enablement toolsdata governance tooling

Industry Keywords

insurance industryunderwriting dataclaims datareserving dataregulatory filing dataNAIC guidelinesstate insurance data regulationsfinancial data standardsactuarial data standardsdata governance best practices

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

Applicants must be currently authorized to work in the United States on a full-time basis without employer sponsorship.