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eFinancial

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 fit
Core 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

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Applicant Tracking System Keywords

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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 & technologies
Cloud

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