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.
• 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.
  • Over time, 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.
  • Preferred qualifications include:
    • Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Engineering, Economics, or a related field (or equivalent practical experience).
    • Property & Casualty insurance experience (commercial lines preferred) or demonstrated ability to ramp quickly in complex domains.
    • Experience productionizing analytics/model outputs in partnership with engineering teams (e.g., APIs/services, CI/CD, containerization).
    • Experience with cloud-based analytics environments and modern ML frameworks (e.g., scikit-learn, XGBoost).
    • Experience with experimentation, causal inference, or rigorous measurement approaches in business settings.
    • Experience establishing monitoring practices appropriate to the solution (e.g., model performance, data quality, usage/adoption).
    • Familiarity with BI tools (Power BI, Tableau) and data visualization best practices.
    • Track record of mentoring, coaching, and/or managing technical teams.
• Salary: The base pay range is $225,000.00 - $250,000.00. Salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location.
  • Additional Benefits:
    • Healthcare and Retirement Benefits
    • Comprehensive medical, dental, and vision coverage
    • 401(k) with a generous employer match and profit-sharing contribution
    • Wellness incentive program
    • Life and accidental death and dismemberment (AD&D) insurance
    • Paid time off program
    • Paid charitable leave
    • Paid parental leave
    • Tuition reimbursement program
    • Personal insurance (auto/homeowners) discounts

Company Overview

MSIG USA is the US-based subsidiary of MS&AD Insurance Group Holdings, Inc., one of the world’s top P&C carriers and a global Class 15 insurer, with A+ ratings and a reach that spans 40+ countries and regions. Leveraging our 350-year heritage, MSIG USA brings the financial strength, expertise, and global footprint to offer commercial insurance solutions that address your business’s unique risks.