VP, Actuarial Analytics & Strategy Enablement

As VP, Actuarial Analytics & Strategy Enablement, you will lead the function that shows how our production models are performing in the market, estimates their impact on financial results, and turns those findings into data-driven recommendations. You'll define the metrics that matter, give underwriting and business leadership the insight to price smarter within filed discretion, and shape where Chubb invests next in pricing sophistication.

This is a highly visible role. You'll partner directly with commercial lines actuaries, business leaders, and technology squads across BOP, Commercial Property, General Liability, Workers' Compensation, and Commercial Auto, with plans to expand further.

What You Will Own

Model Performance & Financial Impact

• Track how production pricing models perform in the market across all commercial lines.
• Estimate the financial impact of model performance on premium, loss ratio, and profitability.
• Define the metrics that matter, such as charge-to-model, prospective loss ratio performance, lift, and segmentation effectiveness.
• Turn findings into clear, prioritized recommendations for model refinement, filing strategy, and investment.

Underwriting & Business Enablement

• Partner with business leadership to guide how underwriters adjust price within filed discretion using data.
• Build account-level metrics that combine model results across lines of business into a single view of each customer.

Strategic Direction & Investment

• Inform pricing strategy and model investment decisions based on where models are driving value and where opportunity remains.
• Serve as the trusted voice on model performance for senior Actuarial and business leadership.
• Create executive-ready narratives that connect analytics to business outcomes.
• Build feedback loops so in-market insights systematically improve future model development and filings.

Commercial Data Foundation

• Set direction for the commercial data foundation, including policy attributes, charged premium, rerate outputs, loss experience, and exposure data.
• Align multiple in-flight workstreams around a coherent architecture and roadmap.
• Partner with actuarial data transformation and enterprise Data & Analytics teams to establish a single source of truth for commercial rating data.

Team Leadership

• Lead a squad of data analysts, actuaries, and data engineers, both directly and through dotted-line relationships.
• Grow the team as the function matures.

Required

• 10+ years of progressive experience in insurance analytics, actuarial, data science, or pricing strategy, with meaningful leadership tenure.
• Proven ability to quantify the financial impact of analytics and influence senior business decisions.
• Hands-on mastery of SQL and Python and fluency with AI-native workflows (Claude Code, Cursor, or equivalent). You can work hands-on in complex data environments from day one.
• Proficiency with Tableau, Power BI, Qlik, or an equivalent visualization platform.
• Experience stitching together exposure, premium, and loss data across fragmented legacy systems.
• Track record of directing multiple concurrent workstreams.
• Experience working in a regulated, multi-stakeholder environment.

Preferred

• P&C insurance background, ideally in commercial lines.
• Familiarity with filed rating plans, underwriting discretion, and rating bureau frameworks.
• Experience with Snowflake, Databricks, or comparable platforms.
• Experience building a function from an early stage.
• A financial services analytics background with a strong willingness to learn commercial insurance.

The pay range for the role is $170,000 to $250,000. The specific offer will depend on an applicant’s skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package, more details on which can be found on our careers website. The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.