Vice President Enterprise Data & Analytics 

The Vice President Enterprise Data & Analytics is accountable for establishing and executing the data strategy to enable data-driven decision making, advanced analytics, and data innovation across the organization. This role ensures effective governance, architecture, and delivery of data platforms, analytics, and insights aligned with corporate priorities.  

​The role exists to transform data into a strategic asset that drives underwriting performance, claims efficiency, customer experience, and operational excellence. It leads the design and delivery of scalable data and AI capabilities, ensuring high-quality, trusted data while enabling advanced modeling and insights.  

​Expected outcomes include modernized data infrastructure, enhanced business intelligence and analytics, improved regulatory and reporting capabilities, and measurable business value through data products and insights. 

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​​Define and Lead Enterprise Data Strategy​ 

• Develop and/or execute a multi-year data and analytics strategy aligned to business goals  

• Establish data governance, quality, and stewardship frameworks across the organization  

• Partner with executive leadership to prioritize data-driven initiatives and investments  

​​Deliver Scalable Data Engineering & Platforms​ 

• Partner with IT to oversee design and implementation of modern data architecture (data lakes, warehouses, cloud platforms)  

• Ensure reliable, secure, and efficient data pipelines and integration across core insurance systems  

• Drive adoption of scalable tools, platforms, and engineering best practices  

​​Enable Advanced Analytics & Data Science​ 

• Lead development of predictive models and AI solutions supporting underwriting, pricing, claims, and customer insights  

• Establish frameworks for model governance, validation, and ethical AI practices  

• Translate complex analytics into actionable business insights  

​​Business Intelligence & Data Enablement​ 

• Deliver enterprise reporting, dashboards, and self-service analytics capabilities  

• Drive data literacy and adoption across business units  

• Ensure regulatory, financial, and operational reporting is accurate, timely, and auditable  

​​Leadership & Talent Development​ 

• Lead and develop a high-performing team of Directors across Data Engineering, Analytics, and Data Science  

• Establish organizational design, capabilities, and succession plans  

• Foster a culture of innovation, accountability, and continuous improvement  

Qualifications

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• ​​Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. 

• ​Ten (10) or more years of progressive experience in data engineering, analytics, or related domains, including Five (5) or more years in executive leadership roles. 

• ​Proven success in leading data transformations and delivering measurable business outcomes. 

• ​Deep expertise in a combination of the below:

• • ​Cloud platforms (Azure, AWS, GCP)
  • ​Data lakehouse/warehouse (e.g., Databricks, Snowflake)
  • ​ETL/ELT tools and orchestration frameworks
  • ​Programming languages (Python, SQL)
  • ​Data visualization (e.g., Tableau, Power BI)

• ​Strong understanding of data governance, security, and compliance frameworks. 

• ​Demonstrated ability to influence at all levels and communicate complex data concepts to non-technical stakeholders. 

• ​Experience managing budgets, vendor contracts, and cross-functional initiatives. 

Additional helpful experience:

• ​​Certified Analytics Professional (CAP)  

• ​Cloud certifications (AWS, Azure, GCP)  

• ​Prior experience in the insurance industry

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