Head of Data & AI

Mutual of Enumclaw Insurance Company•Seattle, WA

3d•$207,700 - $257,600•Onsite

About The Position

The Head of Data & AI is 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 the organization should 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 determines when better data or simpler automation is more appropriate than AI. The position owns enterprise data and AI strategy and roadmap; AI use-case prioritization; vendor and partner selection and oversight; the modern data platform as part of the cloud transition; data governance; responsible AI and regulatory readiness; adoption and value measurement; and team development. It leads a lean, high-impact Data & AI team and represents MOE on AI in regional property and casualty insurance. The role is onsite in Seattle, Washington. Relocation assistance is available for qualified candidates. The hiring range is $207,700–$230,500, and the salary range is $207,700–$257,600.

Requirements

Bachelor’s degree in Computer Science, Data Science, Statistics, Information Systems, Business, or a related field, or equivalent experience.
12 or more years of experience in data or AI.
At least 5 years of experience 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 understanding of the importance of adoption in realizing ROI.
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 the enterprise data and AI strategy in alignment with business objectives and the technology modernization roadmap.
Build a prioritized portfolio of AI use cases across underwriting, claims, pricing, agency distribution, and operations.
Set the organization’s 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 to avoid overlapping tools and ensure solutions integrate with MOE platforms.
Lead the modern data platform, including Medallion Architecture as part of the cloud transition, covering 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 align data and AI capabilities with the target architecture and API strategy.
Establish data governance and ownership across business domains so data used for AI is accurate, permissioned, and traceable.
Establish and run the AI governance framework, including an AI inventory, risk tiering, bias and fairness testing, explainability, monitoring, and documentation.
Work with Legal, Compliance, and Risk to anticipate AI regulation in insurance and prepare for 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 drive understanding, trust, and use.
Lead AI literacy and enablement programs, including a network of AI champions across departments.
Define and report KPIs that show business value and ROI of data and AI investments to executive leadership and the Board.
Build a lean, high-impact team by hiring selectively and creating 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.