Remote VP, Enterprise Intelligence & AI

Dual Brand; Chicago (IL); Hybrid; USD 227,000 - 280,000; Full time

Benefits offered by this job

Competitive compensation

Medical insurance

Vision coverage

Life and AD&D insurance

Disability insurance

401(k) with match

PTO and sick time

Annual bonus program

Job summary

Fidelity Life is seeking a VP of Enterprise Intelligence to lead data engineering and AI/ML teams, driving a unified intelligence capability across US Life Insurance. You will partner with executive leadership to define priorities, reduce fragmentation, and accelerate insight delivery while ensuring data trust and responsible AI practices.

You will guide modernization of data platforms, empower decision‑ready analytics, and build a high‑performing team with strong product and governance focus.

Qualifications

• Leadership of enterprise data, analytics, reporting, AI/ML in a regulated organization.
• Experience defining and executing enterprise data strategy with cross-functional teams.
• Solid understanding of modern data architecture and governance practices.

Responsibilities

• Own the vision and roadmap for enterprise intelligence across US Life Insurance.
• Lead data products, analytics capabilities, and AI/ML use cases with value ownership.
• Partner with executives to translate business needs into scalable intelligence capabilities.
• Modernize reports, data pipelines, and analytical tools while ensuring governance.

Skills

Data leadership

Data engineering

AI/ML governance

Executive communication

Cross-functional collaboration

Education

Bachelor's in CS/IT

Advanced degree preferred

Tools

Cloud data platforms

Data governance tools

MLOps tooling

Job description

Fidelity Life is seeking a VP of Enterprise Intelligence to lead data engineering and AI/ML teams, driving a unified intelligence capability across US Life Insurance. You will partner with executive leadership to define priorities, reduce fragmentation, and accelerate insight delivery while ensuring data trust and responsible AI practices.

You will guide modernization of data platforms, empower decision‑ready analytics, and build a high‑performing team with strong product and governance focus.