Head of Data & AI

Mutual of Enumclaw Insurance•Seattle, WA

2d•Onsite

About The Position

Mutual of Enumclaw’s enterprise leader for data and artificial intelligence, this is a strategy and execution role focused on setting the vision, deciding where to buy, partner, or build, and putting AI into underwriting, claims, and distribution workflows. MOE currently takes a buy-first approach to AI, so the role will often involve selecting partners, connecting their solutions to company data and core systems, and driving adoption. The role also identifies when improved data or simple automation is preferable to AI. The Head of Data & AI will own the enterprise data and AI strategy and roadmap; lead the modern data platform as part of MOE’s cloud transition; establish data governance and responsible AI practices; and oversee vendor relationships, AI adoption, measurable business value, and team development. The position also represents MOE on AI in regional property and casualty insurance and has supervisory responsibility for the Data & AI team. The position is onsite in Seattle, Washington. Relocation assistance is available for qualified candidates. Hiring range: $207,700–$230,500. Salary range: $207,700–$257,600. Exact compensation may vary based on skills and experience.

Requirements

Bachelor’s degree in Computer Science, Data Science, Statistics, Information Systems, Business, or a related field, or equivalent experience.
12+ years of experience in data or AI.
5+ years leading teams and enterprise programs.
Proven record of delivering AI into production with measurable business results, including through vendor- or partner-delivered solutions.
Experience making build-versus-buy decisions and managing strategic technology vendors and contracts.
Hands-on experience establishing data governance and responsible AI or model risk practices in a regulated industry.
Working knowledge of modern cloud data platforms and generative and agentic AI, including their risks and controls.
Strong change leadership and ability to drive adoption.
Executive presence and ability to explain AI clearly to executives, the board, regulators, agents, and frontline teams.

Nice To Haves

P&C insurance experience, especially in underwriting, claims, pricing, or agency distribution.
Experience working with actuarial teams and insurance regulators.
Experience leading data and AI work during cloud migration or core system modernization.

Responsibilities

Define and own MOE’s enterprise data and AI strategy, aligned with business objectives and the technology modernization roadmap.
Build a prioritized AI use-case portfolio across underwriting, claims, pricing, agency distribution, and operations.
Set the build, buy, and partner philosophy, weighing cost, speed, scalability, risk, and strategic value.
Identify, evaluate, and select AI, data, and insurtech vendors, including due diligence on performance, data handling, security, and explainability.
Negotiate contracts and manage third-party AI relationships, including audit rights, data ownership, and performance commitments.
Manage the vendor portfolio, preventing overlapping tools and ensuring solutions integrate with MOE’s platforms.
Lead the modern data platform using Medallion Architecture as part of MOE’s cloud transition, including ingestion, quality, master data, lineage, and accessibility.
Partner with the Data analytics and reporting team to support business insight needs.
Partner with the Enterprise Architect to ensure data and AI capabilities fit MOE’s target architecture and API strategy.
Establish data governance and ownership across business domains so AI data is accurate, permissioned, and traceable.
Establish and run MOE’s AI governance framework, including AI inventory, risk tiering, bias and fairness testing, explainability, monitoring, and documentation.
Anticipate evolving AI regulation in insurance and coordinate with Legal, Compliance, and Risk on state Department of Insurance and NAIC expectations.
Set acceptable-use standards for generative AI tools across the company.
Partner with business leaders and change management to embed AI into everyday workflows and build understanding, trust, and adoption.
Lead AI literacy and enablement programs, including a network of AI champions across departments.
Define and report KPIs showing the business value and ROI of data and AI investments to executive leadership and the Board.
Build a lean, high-impact team through selective hiring and reskilling paths.
Define career paths and succession across data and AI roles.
Represent MOE as a thoughtful voice on AI in regional P&C insurance.
Recruit, onboard, and manage the Data & AI team.
Set individual development goals for direct reports and identify successors for key data and AI positions.
Assess employee performance.