Director, AI Strategy, Product Delivery

Own and drive the AI roadmap for Delivery, identifying high-impact opportunities to augment existing processes and sequencing initiatives for maximum value Orchestrate a broad set of workstreams, bringing together the work of others and driving each initiative toward a cohesive, high-quality outcome. Key examples include: Augment existing requirements gathering and documentation processes through AI, including support for Tech story build and code generation Explore, test and introduce AI applications to enhance pricing tool workflows, including calibration and dislocation analysis Identify and introduce AI-enabled tooling and processes to accelerate filing support and state-by-state rollout while improving consistency across states Leverage AI tooling to monitor and evaluate rating program performance post-launch, surfacing insights that drive continuous improvement Develop scalable approaches for quick, high-quality adjustments to rating programs through AI-augmented processes Partner with US Data Science and Technology to ensure AI solutions are technically sound, scalable and aligned to enterprise capabilities Proactively surface risks, decisions and dependencies, escalating where appropriate Track progress against the AI roadmap, communicate updates to leadership and stakeholders, and iterate based on learnings The ideal candidate will have: A strong foundation in project or program management, with a track record of driving complex, cross-functional initiatives from idea through to execution Demonstrated curiosity about and experience with AI tools, with the ability to quickly assess their practical applicability to business problems The ability to bridge the gap between technology and business, translating complex processes into clear AI use cases and working fluently with both technical and non-technical stakeholders A systems mindset: comfort identifying how separate processes and workstreams connect, and a drive to find solutions that improve efficiency and quality holistically Strong agency and self-direction: able to orchestrate the work of others toward a cohesive vision in ambiguous, evolving environments Excellent communication and partnership skills, building trust and alignment across teams with varying expertise Familiarity with insurance product delivery or rating programs is a plus Experience working with Data Science or Technology teams in a business-facing capacity is strongly preferred Master's degree or equivalent in mathematics, economics, statistics, or other quantitative field Minimum 7 years relevant work experience, typically 10 years PhD or equivalent research experience beneficial Expert skills in Excel, PowerPoint, and statistical software packages (eg, SAS, Emblem) Must have exceptional planning, analytical, decision-making, communication, and project management skills Experience managing or leading others beneficial