At Coaction, we’re a unique mix of leaders, achievers, thinkers, and team players with a high-performance mindset and a diverse skillset. We bring our industry expertise together to continually push the boundaries of what insurance can be for our clients.

The Head of Data Analytics is responsible for leading enterprise analytics across Claims, Underwriting, Actuarial, Finance, Billing, and Reinsurance. This role combines strategic leadership with hands-on execution to deliver trusted business insights, standardized enterprise metrics, and production-ready advanced analytics solutions that directly improve underwriting profitability, claims efficiency, and financial performance.

Key Responsibilities

1. Enterprise BI & KPI Governance

• Establish and maintain standardized enterprise and have implemented the Semantic Layer, Semantic Model

• Lead executive dashboard development and domain-level reporting.

• Implement metric certification and governance processes.

• Eliminate conflicting metric definitions across legacy and modern platforms.

2. Advanced & Predictive Analytics

• Develop and deploy predictive models supporting claims severity, leakage detection, and fraud indicators.

• Lead underwriting analytics initiatives including risk segmentation and portfolio optimization.

• Partner with actuarial teams on trend modeling, development analysis, and scenario simulations.

• Deliver reinsurance analytics including treaty impact and retention optimization analysis.

• Ensure models are explainable, governed, production-ready, and measurable for business impact.

3. Analytics Engineering & Operationalization

• Build and validate analytical datasets within Redshift ,SQL environments.

• Partner with Data Engineering to productionize models and implement monitoring frameworks.

• Establish reproducible analytics workflows and documentation standards.

4. AI & Automation Enablement

• Identify and implement AI-driven opportunities in claims processing, underwriting decision support, and document automation.

• Establish experimentation frameworks and responsible AI governance practices.

• Support enterprise AI readiness through structured data standardization and quality improvements.

5. Leadership & Operating Model

• Lead and mentor analytics team members across BI, analytics engineering, and data science.

• Define intake, prioritization, and delivery standards.

• Drive accountability, execution discipline, and business stakeholder alignment.

Qualifications

• 10+ years of experience in insurance analytics (Property & Casualty preferred).

• Strong expertise in claims, underwriting, premium, exposure, and reserving concepts.

• Advanced SQL skills (Redshift and SQL Server).

• Hands on experience – AWS, PowerBI, AtScale(Similar Semantic Model)

• Advanced SQL skills (Redshift and SQL Server).

• Experience with Python or R for predictive modeling.

• Demonstrated experience operationalizing analytics solutions into production environments.

• Proven ability to partner with executive leadership and actuarial teams.

Equal Opportunity Employer

Coaction is an Equal Employment Opportunity employer. Coaction’s policy is not to discriminate against any applicant or employee based on race, color, religion, national origin, gender, age, sexual orientation, gender identity or expression, marital status, mental or physical disability, and genetic information, or any other basis protected by applicable law. Coaction also prohibits harassment of applicants or employees based on any of these protected categories.

If your application is selected, you will receive an email directly from the Coaction Recruiting Team at coaction@myworkday.com asking you to contact a member of the Coaction Recruiting Team. Any other method of contact may be fraudulent.