Vice President Enterprise Data & Analytics

Gore Mutual Insurance • Cambridge, ON

3d • Hybrid

About The Position

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.

Requirements

• 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.

Nice To Haves

• Certified Analytics Professional (CAP)
• Cloud certifications (AWS, Azure, GCP)
• Prior experience in the insurance industry

Responsibilities

• 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.

What This Job Offers

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