Director of Insurance Analytics

Essential Functions

• Lead a portfolio of analytics & data science initiatives
• Own a portfolio of initiatives end-to-end: problem framing, prioritization, delivery planning, stakeholder alignment, and measurable business outcomes
• Translate ambiguous business questions into clear problem statements, hypotheses, and structured analytical approaches that influence decisions and operations
• Define success metrics and measurement plans (including benefit estimation) and track adoption and impact over time
• Drive cross-functional delivery across Underwriting, Pricing, Claims and Actuarial; ensure solutions are practical, adopted, and aligned to business priorities
• Partner closely with business leaders to align work to decision needs, manage tradeoffs transparently, and maximize impacts
• Contribute directly by writing and reviewing code (Python & SQL), building analytical prototypes, reusable analytics assets, and decision-support tools, and unblocking technical decisions
• Apply statistical and machine learning techniques (e.g., regression, classification, clustering, time series) to solve business problems and support decision-making
• Develop and deploy solutions in a cloud-based analytics environment, partnering with platform and engineering teams to operationalize outputs into business workflows and drive sustained adoption
• Design and execute experiments and tests (as appropriate to the use case) to evaluate interventions, quantify impact, and support decision-making
• Define and reinforce production-minded practices and standards for analytical quality appropriate to the use case: validation, testing/controls, documentation, reproducible code, and operational transition plans for ongoing use
• Establish monitoring expectations appropriate to the solution (e.g., usage, data quality, and model performance) and drive continuous improvement based on signals
• Deliver decision support for Underwriting and Pricing/Actuarial
• Support the data enablement needed for claims analytics in partnership with data and technology teams; translate claims workflows into analytics-ready measures and repeatable decision support and reporting
• Where applicable, help operationalize and monitor analytical solutions used in claims decisioning and workflows
• Serve as a trusted thought partner to senior stakeholders; communicate clearly, facilitate working sessions, and manage tradeoffs transparently
• Produce executive-ready narratives that connect analytical evidence to decisions, risks, and tradeoffs
• Mentor data scientists/analysts on problem structuring, technical approach, and effective communication
• Help build the team through hiring, onboarding, and talent development as scope expands; responsibilities may evolve into formal people leadership
• Collaborate with technology and data platform teams to enable responsible deployment and operation of analytics solutions (access, security, maintainability, and monitoring expectations appropriate to the solution), without owning enterprise platforms
• Help define reusable patterns for analytics delivery (templates, review checklists, documentation standards) that reduce friction and improve time-to-value

Qualifications

• Bachelor’s degree in Statistics, Computer Science, Mathematics, Economics, or a related quantitative field or equivalent practical experience
• 7+ years of experience in analytics or data science, with a track record of delivering measurable business impact
• 2+ years leading analytics initiatives and/or mentoring technical team members in a senior/lead capacity
• Proficiency in Python and SQL; ability to write production-quality analytical code and review others’ work
• Strong communication skills with ability to influence senior stakeholders; translate technical work into clear decisions, actions, and tradeoffs