Remote) VP Enterprise Intelligence

Chicago, IL (Remote)
Des Plaines, IL 60018, USA

Fidelity Life is a leading provider of financial security for middle market consumers. With a history of innovation, the company is redefining the life insurance industry with patented products and processes. Fidelity Life pioneered the use of predictive analytics to streamline the new business process and revolutionize the speed that policies can be issued. Established in 1896, Fidelity Life enjoys a long track-record of success and continues to build its reputation of sound fiscal management and customer-focused innovation.

In concert with Fidelity Life, eFinancial is an online and call-center-based insurance agency with a proven direct-to-consumer life insurance model. Using a proprietary and patented sales technology platform, eFinancial’s licensed agents help thousands of consumers each day with their unique life insurance needs – often with just a single phone call. To complement this channel, the company recently expanded to offer an entirely digital purchase experience.

Fidelity Life and eFinancial are part ofiA Financial Group and are revolutionizing the life insurance industry to make protection more accessible and affordable for everyday Americans. With integrated marketing, product manufacturing, and controlled distribution, the enterprise is uniquely positioned to grow.

Do you combine enterprise leadership, data fluency, and the ability to turn intelligence into measurable business outcomes? Are you energized by building strong teams? If so, this role offers the opportunity to shape the intelligence agenda for US Life Insurance.

As VP of Enterprise Intelligence, reporting to the CTO, US Life Insurance, you will assume leadership of the existing Data Engineering and AI/ML teams and establish a unified enterprise intelligence capability. You will be accountable for dramatically improving carrier reporting and analytics across US Life Insurance, creating trusted data foundations, decision-ready insights, and responsible AI capabilities that improve how the business operates and grows.

This is a senior technology and business leadership role. You will partner across executive leadership, operations, distribution, marketing, product, finance, compliance, and technology to define priorities, reduce fragmentation, improve data confidence & availability, and accelerate the delivery of insights and intelligent solutions.

Enterprise intelligence strategy: Define and execute a multi-year strategy for enterprise data, reporting, analytics, and AI/ML aligned with US Life Insurance priorities.

Trusted data foundation: Strengthen data engineering, architecture, governance, quality, lineage, integration, and delivery practices so critical information is reliable, reusable, secure, and accessible.

Carrier reporting transformation: Modernize management, operational, distribution, customer, and regulatory reporting by improving consistency, timeliness, usability, and ownership.

Analytics at the point of decision: Move the organization along the journey from retrospective reporting toward forward-looking analytics, decision support, and measurable business insight.

Responsible AI at scale: Build a disciplined AI/ML portfolio, including practical use cases, reusable capabilities, model lifecycle controls, and responsible adoption in partnership with business, risk, legal, and compliance stakeholders.

High-performing organization: Unify and develop the Data Engineering and AI/ML teams around clear products, standards, accountabilities, career paths, and outcomes.

• Own the vision, roadmap, operating model, and investment priorities for enterprise intelligence across US Life Insurance.
• Establish…