Enterprise Data Governance Leader

Introduction to Enterprise Data & Data Science (ED&DS)

As we look toward the future, it's clear that data will be the cornerstone of our industry. The market leaders will be those who can manage and utilize data at scale reliably, securely, and intelligently. Capitalizing on data is a strategic imperative for all business units and functions at Liberty Mutual. The Enterprise Data & Data Science (ED&DS) department’s purpose is to optimize the return on our data and data science investments through common capabilities and services. We achieve this through a federated operating model supporting over 1,000 Data and Data Science professionals. In this role, you will join a team of Data and Data Science experts in ED&DS, focusing on advancing talent and governance maturity across these professionals through unified strategies, training programs, and talent practices.

Our Team: How You’ll Contribute

Help us prepare for this future by joining the strategy team within the ED&DS department. As a leader in data governance strategy, you will help Liberty Mutual establish and mature comprehensive data governance capabilities across all business domains, through a federated governance model that enables both centralized guidance and local flexibility. You’ll accomplish this by working across teams to establish clear, comprehensive, data-product-oriented data governance responsibilities, goals, and paths forward — seeking commonality where valuable and enabling local execution as needed. This role will require strategic thinking, deep collaboration, and excitement to navigate ambiguity to build new strengths at Liberty.

Responsibilities: What You’ll Do

• Shape the vision: Bring a strong point of view on what effective data governance looks like, grounded in industry perspective, internal context, and practical tradeoffs. Champion the evolution and adoption of our Enterprise Data Governance Playbook, ensuring alignment with compliance, risk, and business objectives.
• Design our well-lit path: Define the future state where metadata and data quality are increasingly automated and AI-driven to enable trusted decisions from high-quality data products. Provide thought leadership on the path design and lead AI experimentation to prove what works.
• Drive execution: Run governance like a program, with defined workstreams, clear ownership, and success measures. Help business units (BUs) make progress without unnecessary friction, executing on our standards within Liberty Mutual’s data governance platforms.
• Influence and align: Provide structure and clarity in moments of ambiguity, and help end circular debates by driving decisions to closure. Facilitate Data Governance leadership discussions, build alignment on key data policies, standards, and decision-making frameworks, and clear roadblocks by bringing facts, decisions, and recommendations to the right senior leaders.
• Connect the dots: Actively identify where business units are solving similar problems and facilitate targeted peer connections not more meetings, but real collaboration. Help us scale these connections by partnering with our training experts to elevate and drive adoption of our standards, platforms, and best practices.
• Communicate value: Ensure governance efforts are well understood, appropriately scoped, and connected to business impact. Explain the why behind governance requests, set expectations, and build enterprise-wide support by telling a compelling story.

What Success Looks Like

• Deep familiarity with data governance principles, tools, and practices, including experience implementing policies, procedures, and standards at scale
• Demonstrated ability to balance strategic thinking with operational execution, delivering outcome-focused leadership
• Solid understanding of how data is created, used, and moves through the business, so you can spot connections and help teams make smart decisions
• Proven experience leading complex, cross-functional initiatives from concept through implementation
• Skilled at defining, organizing, and roadmapping multiple priorities, able to identify trade-offs, drive clear prioritization, and keep things moving forward
• Strong executive presence with effective influencing skills across all organizational levels
• Talent for simplifying complexity and helping teams focus on what matters most

Qualifications

• Strong written and oral communication skills required
• BA/BS, or relevant work experience, in Computer Science or related field preferred
• MBA or advanced degree in Mathematics, Computer Science, Engineering, Economics, or other quantitative discipline strongly preferred
• Familiarity with Agile practices and leading delivery in an Agile environment.
• Familiarity with process management and operating model design a plus.
• Director I, Data Management (STP): 7-10+ years’ experience leading data governance, stewardship, metadata, and data quality programs across complex domains.
• Director II: Data Management (STP) 10+ years’ experience leading data governance, stewardship, metadata, and data quality programs across complex domains.
• 7+ years as a managing data steward, domain data lead, or equivalent governance leadership role preferred.
• 1-3 years’ experience with enterprise data catalog and metadata management platforms a plus.

Key skills/competency

• Data Governance
• Data Quality
• Metadata Management
• Data Strategy
• AI/ML in Data
• Agile Methodologies
• Cross-functional Collaboration
• Risk Management
• Business Objectives Alignment
• Executive Influence