AVP/VP of Enterprise Analytics

About the role

Lead and develop a team of 15–20 analytics and BI professionals. Drive the vision for AI-enabled, conversational access to business data. Lead change management efforts to prepare the organization for GenAI adoption. Oversee and optimize the legacy reporting environment while managing transition efforts. Balance current reporting needs with forward-looking analytics innovation. Support and influence a federated community of 100+ analysts across the organization. Collaborate with BD&A leaders to align with enterprise data and AI strategy. Partner with business and technology stakeholders to deliver insight-driven value.

Responsibilities

• Lead and develop a team of 15–20 analytics and BI professionals.
• Drive the vision for AI-enabled, conversational access to business data.
• Lead change management efforts to prepare the organization for GenAI adoption.
• Oversee and optimize the legacy reporting environment while managing transition efforts.
• Balance current reporting needs with forward-looking analytics innovation.
• Support and influence a federated community of 100+ analysts across the organization.
• Collaborate with BD&A leaders to align with enterprise data and AI strategy.
• Partner with business and technology stakeholders to deliver insight-driven value.

Requirements

• Bachelors Degree required. Post-graduate degree preferred.
• 8–10+ years of progressive experience in data and analytics, business intelligence, insurance data, or a closely related field, including meaningful leadership experience.
• Insurance industry experience is strongly preferred.
• Mastery of modern BI platforms such as Tableau and Power BI.
• Familiarity with legacy platforms like Cognos is a plus.
• Working fluency with cloud data platforms, Snowflake and Azure in particular, sufficient to partner credibly with our technology teams and shape the future-state architecture.
• A genuine point of view on GenAI in the BI space, and the change-management experience to drive adoption, reshape skill sets, and prepare the workforce for what’s coming.
• Demonstrated executive presence and business fluency.

Qualifications

• Bachelors Degree required. Post-graduate degree preferred.
• 8–10+ years of progressive experience in data and analytics, business intelligence, insurance data, or a closely related field, including meaningful leadership experience.
• Insurance industry experience is strongly preferred.
• Mastery of modern BI platforms such as Tableau and Power BI.
• Familiarity with legacy platforms like Cognos is a plus.
• Working fluency with cloud data platforms, Snowflake and Azure in particular, sufficient to partner credibly with our technology teams and shape the future-state architecture.
• A genuine point of view on GenAI in the BI space, and the change-management experience to drive adoption, reshape skill sets, and prepare the workforce for what’s coming.
• Demonstrated executive presence and business fluency.

Skills

• Leadership in data and analytics.
• Experience with AI and generative AI in business intelligence.
• Ability to manage and optimize legacy reporting environments.
• Strong collaboration and partnership skills.
• Executive presence and business fluency.

Benefits

• Medical, dental, and vision coverage.
• Wellness plans.
• Parental leave.
• Adoption assistance.
• Tuition reimbursement.
• Paid Time Off and paid holidays.
• 401(k) plan with company match.
• Employee stock purchase plan.
• Commuter benefits.

Pay

Compensation varies by role, level, and location and is influenced by skills, experience, and business needs. Your recruiter will provide details about benefits and specific compensation ranges during the hiring process.

Schedule

Your recruiter will provide details about benefits and specific compensation ranges during the hiring process.