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VP Enterprise Intelligence
eFinancial. Define and execute a multi-year enterprise data, reporting, analytics, and AI/ML strategy aligned with US Life Insurance priorities .
Posted 10/21/2026full-timeRemote • Illinois • United StatesLead💰 $227,000 - $280,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in defining and executing enterprise data, analytics, and AI/ML strategies while leading multidisciplinary teams. Capable of establishing data governance, ensuring compliance, and fostering data literacy across the organization.
Highest-signal resume keywords
Enterprise Data StrategyAI/ML LeadershipData GovernanceCloud Data PlatformsDataOps and MLOps
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ArchitectureAnalyticsReporting SolutionsData ProductsData QualityData PipelinesAI/ML LifecycleMaster Data ManagementMetadata ManagementBusiness Intelligence
Soft Skills
Executive PresenceStrong CommunicationInfluencing Without AuthoritySimplifying Complex TopicsTalent Leadership
Industry Keywords
Life InsuranceRegulatory CompliancePolicy AdministrationActuarialClaimsFinanceDistributionUnderwriting
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Define and execute a multi-year enterprise data, reporting, analytics, and AI/ML strategy aligned with US Life Insurance priorities
- Lead the existing Data Engineering and AI/ML teams and establish a unified enterprise intelligence capability
- Own the vision, roadmap, operating model, and investment priorities for enterprise intelligence
- Establish a business-aligned portfolio of data products, analytics capabilities, reporting solutions, and AI/ML use cases
- Partner with executives and functional leaders to identify critical decisions, define common metrics, and translate business needs into scalable intelligence capabilities
- Simplify and rationalize fragmented reports, dashboards, data pipelines, and analytical tools
- Create standards for enterprise metrics, semantic definitions, master and reference data, metadata, lineage, data quality, and accountable stewardship
- Ensure data and AI solutions meet security, privacy, compliance, resilience, model risk, auditability, and third-party oversight expectations
- Guide modernization of data platforms and integration patterns
- Develop an enterprise reporting experience enabling actionable, governed insights
- Define and communicate outcome-based measures for adoption, data quality, delivery speed, platform reliability, reporting efficiency, insight utilization, and business value
- Build data literacy and responsible AI fluency through communication, enablement, communities of practice, and hands-on partnership
- Report to the CTO, US Life Insurance, and partner across executive leadership, operations, distribution, marketing, product, finance, compliance, and technology
Requirements
What you’ll need- Bachelor’s degree in computer science, data science, engineering, information systems, analytics, business, or a related discipline
- Significant progressive leadership experience in enterprise data, analytics, reporting, AI/ML, or related technology functions
- Experience leading leaders and multidisciplinary teams
- Demonstrated success defining and executing enterprise data and analytics strategy in a complex, regulated organization
- Practical understanding of modern data architecture, cloud data platforms, integration, data products, governance, DataOps, MLOps, and the AI/ML lifecycle
- Executive presence and strong communication skills
- Ability to simplify complex topics and build alignment across diverse stakeholders
- Ability to lead transformation, influence without direct authority, resolve competing priorities, and sustain adoption through change
- Strong talent leadership, including attracting, developing, engaging, and retaining specialized data and AI professionals
- Knowledge of life insurance business models, products, distribution, underwriting, policy administration, actuarial, claims, finance, and regulatory reporting is a plus
- Advanced degree preferred
Benefits
Comp & perks- Medical Insurance: Choose from a variety of plans to fit your healthcare needs.
- Dental Insurance: Coverage for preventive, basic, and major dental services.
- Employer-Paid Vision: Comprehensive eye care coverage at no cost to you.
- Employer-Paid Basic Life and AD&D Insurance
- Employer-Paid Short-Term and Long-Term Disability Insurance
- 401(k) Plan with company match
- PTO and Sick Time accrue each pay period
- Annual Bonus Program: Performance-based bonus
- Health Savings Accounts
- Flexible Spending Accounts (Health, Dependent Care & Transit)
- Remote work arrangement