Enterprise Data Governance Leader

Overview

Description Our Department:
Introduction to Enterprise Data & Data Science (ED&DS). As we look toward the future, data will be the cornerstone of our industry. Capitalizing on data is a strategic imperative for all business units and functions at Liberty Mutual. The ED&DS department’s purpose is to optimize the return on our data and data science investments through common capabilities and services, supported by a federated operating model across 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.

• Shape the vision:
  Bring a strong point of view on effective data governance, grounded in industry perspective, internal context, and practical tradeoffs. Champion the evolution and adoption of the Enterprise Data Governance Playbook, ensuring alignment with compliance, risk, and business objectives.
• Design our future state:
  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 path design and lead AI experimentation to prove what works.
• Drive execution:
  Run governance like a program with defined work streams, clear ownership, and success measures. Help business units progress while adhering to standards within Liberty Mutual’s data governance platforms.
• Influence and align:
  Provide structure in ambiguity, drive decisions to closure, facilitate Data Governance leadership discussions, and build alignment on key data policies, standards, and decision-making frameworks. Remove roadblocks by presenting facts, decisions, and recommendations to senior leaders.
• Connect the dots:
  Identify where business units solve similar problems and facilitate targeted peer connections that lead to real collaboration. Partner with training experts to elevate and drive adoption of 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.

• Deep familiarity with data governance principles, tools, and practices, including experience implementing policies, procedures, and standards at scale
• Ability to balance strategic thinking with operational execution and deliver outcome-focused leadership
• Solid understanding of how data is created, used, and moves through the business
• Proven experience leading complex, cross-functional initiatives from concept through implementation
• Ability to define, organize, and road-map multiple priorities with clear prioritization and momentum
• Strong executive presence with effective influencing skills across organizational levels
• Talent for simplifying complexity and helping teams focus on what matters most

This is a range posting. Candidates will be considered at the appropriate level based on experience and qualifications.

• Strong written and oral communication skills
• 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 is 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 is a plus

Pay Philosophy: The typical starting salary…