Director , Advanced Analytics

Director I, Advanced Analytics Description

Auto Physical Damage (APD) Claims Analytics team is seeking an exceptional director I / assistant director to serve as a senior technical leader and strategic thought partner for APD leadership.

This role will own and advance several enterprise-critical analytics capabilities that support APD's business strategy, including executive reporting, financial planning, portfolio management, initiative ideation and prioritization, and analytics product development. Operating with a product-ownership mindset, this leader will drive the evolution of APD Analytics from a reporting-focused organization to a strategic, AI-enabled decision-intelligence function supporting APD's vision. This role will help define long-term analytics roadmaps, identify the highest-value opportunities for investment, and ensure analytics capabilities generate measurable business impact.

While this is not a formal people-management position, the successful candidate will play a significant leadership role through influence, mentorship, and thought leadership. This role will actively coach analysts across the team, helping elevate business acumen, strategic thinking, communication skills, and advanced analytics capabilities while fostering a culture of innovation, continuous learning, and partnership.

Level of position offered will be based on skills and experience at manager discretion

This position may have in-office requirements twice a week depending on candidate location.

Responsibilities:

• Own and evolve critical APD Analytics capabilities, including executive insights, financial planning, workforce planning, initiative portfolio management, and operational performance monitoring.
• Serve as a strategic thought partner to APD leaders by identifying opportunities, shaping business cases, and translating business challenges into analytics roadmaps and actionable solutions.
• Lead executive reporting and strategic planning activities to influence executive decisions and long-term organizational strategy.
• Drive the transition from descriptive and diagnostic analytics toward predictive, prescriptive, and decision-intelligence capabilities.
• Apply product ownership principles to analytics capabilities by defining vision, roadmap, priorities, business outcomes, and investment tradeoffs.
• Identify, scope, and incubate high-value initiatives that improve operational performance, scalability, customer outcomes, and financial results.
• Partner with stakeholders across Claims Operations, Process Excellence, Finance, Product, Technology, and Data Science to influence strategic direction and drive implementation.
• Champion innovation through automation, AI/ML, advanced analytics, and emerging decision-support capabilities.

Ideal Experience Includes

• Strong understanding of and/or hands‑on experience across the end‑to‑end APD claims lifecycle, including intake, estimation, total loss, salvage, and recovery processes.
• Proven experience in large‑scale data modeling and advanced analytics, with a track record of evolving descriptive and diagnostic analytics into predictive and prescriptive solutions.
• Demonstrated ability to build and sustain strategic partnerships across multiple functional areas (e.g., Claims Operations, Process, Product, Finance, and Technology) to drive business outcomes.
• Experience leveraging AI/ML capabilities to enhance analytics products, inform decision‑making, and contribute to thought leadership within the organization.

• Master's degree in Mathematics, Economics, Statistics or other quantitative field;
  Ph.D. helpful given quantitative work they are leading.
• Minimum 8, typically 10, years' experience; must have exceptional planning, analytical, decision‑making and project management skills.
• Expert knowledge of data sources, tools and business drivers.
• Knowledge of statistical techniques required. Industry knowledge critical.

Employees may apply for a new role after completing 12 months of employment in their current position.

Employees should review all role requirements and apply only for positions for which they are eligible. Hiring processes may vary by country, including differences in procedures, requirements, and timelines. For country‑specific details, please consult your local recruiting / HR team.

10%