VP Enterprise Intelligence

This is a fully remote position, open to applicants in Illinois.

📋 Description

• Develop and implement a comprehensive multi-year strategy for enterprise data, reporting, analytics, and AI/ML that aligns with the priorities of US Life Insurance.

• Direct the existing Data Engineering and AI/ML teams to create a cohesive enterprise intelligence framework.

• Take ownership of the vision, roadmap, operational model, and investment priorities for enterprise intelligence.

• Create a portfolio of data products, analytics capabilities, reporting solutions, and AI/ML use cases that are aligned with business objectives.

• Collaborate with executives and functional leaders to pinpoint critical decisions, establish common metrics, and translate business requirements into scalable intelligence solutions.

• Streamline and unify disparate reports, dashboards, data pipelines, and analytical tools.

• Develop standards for enterprise metrics, semantic definitions, master and reference data, metadata, lineage, data quality, and responsible stewardship.

• Ensure that data and AI solutions comply with security, privacy, regulatory, resilience, model risk, auditability, and third-party oversight requirements.

• Guide the modernization of data platforms and integration strategies.

• Create an enterprise reporting experience that delivers actionable and governed insights.

• Define and communicate outcome-based metrics for adoption, data quality, delivery speed, platform reliability, reporting efficiency, insight utilization, and business value.

• Foster data literacy and responsible AI understanding through effective communication, enablement, communities of practice, and collaborative partnerships.

• Report directly to the CTO of US Life Insurance and collaborate with executive leadership, operations, distribution, marketing, product, finance, compliance, and technology.

⛳️ Requirements

• Bachelor's degree in computer science, data science, engineering, information systems, analytics, business, or a related field.

• Extensive progressive leadership experience in enterprise data, analytics, reporting, AI/ML, or related technology domains.

• Proven track record of leading leaders and multidisciplinary teams.

• Experience successfully defining and implementing enterprise data and analytics strategies within complex, regulated environments.

• Solid understanding of modern data architecture, cloud data platforms, integration, data products, governance, DataOps, MLOps, and the AI/ML lifecycle.

• Strong executive presence and exceptional communication skills.

• Capability to simplify complex subjects and build consensus among diverse stakeholders.

• Proficient in leading transformations, influencing without direct authority, resolving conflicting priorities, and ensuring adoption during changes.

• Strong talent leadership skills, including attracting, developing, motivating, and retaining specialized data and AI professionals.

• Familiarity with life insurance business models, products, distribution, underwriting, policy administration, actuarial, claims, finance, and regulatory reporting is advantageous.

• Advanced degree is preferred.

🏝️ Benefits

• 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.