Director, State Product Management Analytics - Remote

CSAA Insurance Group, a AAA Insurer

1d • Remote

About The Position

CSAA Insurance Group (CSAA IG), a AAA insurer, is one of the leading personal lines property and casualty insurance groups in the United States. Here, every employee shapes our mission. We build innovative, human-centered solutions that help AAA members prevent, prepare for, and recover from life's uncertainties. You will join a collaborative, inclusive culture where your strengths have room to grow and your ideas can drive real impact. Step into a role where you can contribute to our shared success through meaningful work. We are actively hiring for a Director, State Product Management Analytics - Remote. Your Role: Reporting to the SVP, State Product Management, the Director, State Product Management Analytics is the single-threaded owner for the State Product Management (SPM) insights ecosystem; the AI-enabled “insights machine” that enables SPM leaders to make fast, high-quality product decisions for their states. This leader centralizes product performance analytics under one accountable organization and is responsible for establishing the decision intelligence architecture: the operating model, system/machine, tooling, metrics layer, insight products, and automated delivery mechanisms that translate data into decisions at scale. The Director also partners closely with Data Science (models, forecasts, optimization engines), Data Engineering/Technology (pipelines, platforms), and actuarial and product leaders to ensure advanced analytics are operationalized into trusted, decision-ready insights, not just analyses. This role is accountable for making product insights quick to access, easy to interpret, and consistently correct, while elevating CSAA’s analytics maturity toward modern, tech-forward practices and responsible use of AI.

Requirements

• 8+ years of progressive experience in analytics, product performance insights, decision intelligence, profit and loss performance management or related fields (e.g., product analytics, actuarial/underwriting analytics, or advanced business analytics)
• Bachelor’s degree required in a quantitative, business, or technical discipline (or equivalent experience).
• Proven people leadership with a high bar for analytical rigor, AI fluency, business acumen, and stakeholder partnership.
• Proven ability to lead others directly or indirectly, as demonstrated through 5+ years of leading teams, enterprise-wide programs, or large cross-functional programs including experience leading teams through a matrix.
• Demonstrated ability to build and operationalize performance reporting and analytical insight ecosystems—including metrics/semantic layers, automated insight products, reusable reporting frameworks, and scalable delivery mechanisms. High preference for demonstrated use of new technology.
• Experience translating complex Product performance drivers (e.g., pricing, risk/underwriting drivers, retention, mix, expense dynamics, operational impacts) into clear, actionable insights for business leaders.
• Strong track record partnering with Data Science and Data Engineering to integrate models, predictive signals, and advanced analytics into business workflows—ensuring outputs are interpretable, trusted, and consistently used for decisions.
• Expertise in environments requiring high accuracy, governance, and defensibility, including metric definitions, documentation, data lineage, controls, and validation.
• Exceptional executive communication skills, capable of producing concise performance narratives, decision-ready readouts, and insight-driven recommendations.
• Proven ability to influence cross-functionally (Product, Actuarial, Data Science, Engineering, Finance, Operations, Distribution) to establish a single source of truth and drive alignment around performance interpretation.
• Ability to design and deliver insight products such as scorecards, drivers/attribution, opportunity sizing, scenarios, and decision briefs that accelerate decision quality and speed.

Nice To Haves

• Professional credentials (e.g., actuarial exams/designations, analytics certifications) are a plus.
• Deep understanding of insurance product performance dynamics, including regulatory environments, competitive context, and constraints affecting pricing, underwriting, and risk decisions.
• Ability to foster a high‑trust, inclusive team environment, empowering team members and modeling authenticity and psychological safety.
• Demonstrated commitment to shaping and strengthening company culture through leadership, mentorship, and community engagement.
• Models enterprise thinking—staying aware of key initiatives, industry trends, and business results, and making decisions through a broader organizational lens.
• Ownership mindset with a willingness to work across boundaries, support enterprise priorities, and flex into high‑impact work when needed.
• Willingness to travel as needed for leadership meetings, enterprise events, and cross-functional collaboration.

Responsibilities

• Own the SPM Product Insight Architecture (the “Insight and Decision Layer”)
• Own the end-to-end architecture for SPM Product insights, including metric definitions/semantic layer, reusable insight products (scorecards, drivers, opportunity sizing, decision briefs) and delivery to Product leaders.
• Lead delivery mechanisms that make Product insights quick, easy, and accurate to access (self-serve + curated executive views + push/alerts where appropriate).
• Own insight quality and trust: accuracy, lineage, documentation, validation, and repeatability for all SPM Product performance measures.
• Lead AI-Enabled Product Decision Intelligence Using Data Science Outputs
• Lead the operationalization of Data Science assets into SPM Product decision support (predictive signals, optimization outputs, propensity/retention insights, catastrophe/risk signals) with clear interpretation and business context.
• Own AI-forward insight patterns that improve decision speed and quality (early-warning/anomaly detection, scenario exploration, sensitivity analysis, “recommended action” framing with documented tradeoffs).
• Ensure the insight layer answers the Product questions SPMs need: what happened, why, what’s next, what to do, and what it will cost/risk.
• Own SPM Product Performance Analytics and the Enterprise Results Narrative
• Own the core SPM Product performance measurement system across states and ensure consistent interpretation of results (KPI governance, driver/attribution views, and performance narratives).
• Serve as the primary, accountable voice for Product results across the organization—translating complex analytics into clear executive storytelling and decision-ready readouts.
• Lead recurring SPM Product performance deliverables (weekly/monthly/quarterly packs, leadership readouts, deep dives) as a single source of truth.
• Lead Cross-Functional Alignment to Deliver Actionable Product Insights
• Lead alignment with SPM leaders, Product Development, Actuarial, Underwriting, Technology/Data Engineering, and Data Science to ensure Product insights are decision-ready, consistent, and adopted in Product governance and state cadences.
• Own the intake/prioritization model for SPM analytics work to maximize Product decision impact, balancing enterprise needs, state needs, and time sensitivity.
• Drive adoption by embedding insights into how SPM runs the business (planning, performance reviews, initiative governance, test-and-learn loops).
• Lead and Build a High-Impact SPM Product Analytics Organization
• Lead, coach, and develop the team (one manager with a team and multiple individual contributors), setting a high bar for Product acumen, AI fluency, analytical rigor, and executive communication.
• Own team capability growth in decision intelligence disciplines (analytics-as-a-product, causal/driver thinking, experimentation support, model interpretation, insight automation).
• Own performance expectations and culture for the team: speed with control, clarity over complexity, and measurable impact on SPM Product decisions.

Benefits

• We offer a total compensation package, annual bonus eligibility for most roles, 401(k) with a company match, and so much more!
• Career Growth: We believe in growth for everyone. Here at CSAA IG, leaders and mentors partner with employees to align interests, unlock development opportunities, and support long‑term success.
• Flexible Workplace: We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex roles, working primarily from home, often with the flexibility to work from various locations including CSAA offices. Our flexible workplace empowers you to balance remote work with intentional in‑person moments that deepen connection and collaboration.
• Inclusion and Belonging: An inclusive and welcoming workplace is the cornerstone of our success. By fostering an environment where people feel valued and heard, we deepen our ability to understand and meet the unique needs of our members. This strengthens innovation and enhances our products and services, giving us a competitive edge in the market.

What This Job Offers

• Job Type: Full-time
• Career Level: Director