WHO WE ARE
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 of iA 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.
JOB SUMMARY
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.
YOUR MANDATE
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.
KEY RESPONSIBILITIES
Own the vision, roadmap, operating model, and investment priorities for
enterprise intelligence across US Life Insurance.
Establish a business-aligned portfolio of data products, analytics
capabilities, reporting solutions, and AI/ML use cases with transparent
value, ownership, and delivery commitments.
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 while preserving essential needs.
Create standards for enterprise metrics, semantic definitions, master and
reference data, metadata, lineage, data quality, and accountable stewardship.
Ensure data and AI solutions meet expectations for security, privacy,
compliance, resilience, model risk, auditability, and third-party oversight.
Guide the modernization of data platforms and integration patterns, balancing
speed, maintainability, cost, interoperability, and reuse.
Develop an enterprise reporting experience that enables leaders to move from
summary measures to actionable drivers and appropriately governed detail.
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 across the organization
through communication, enablement, communities of practice, and hands-on
partnership.
WHAT SUCCESS LOOKS LIKE
Leaders and managers have timely access to consistent, trusted, and
decision-ready information.
Critical enterprise metrics have clear definitions, accountable owners,
traceable sources, and visible quality expectations.
Reporting is easy to use and maintain, with reduced duplication, manual
effort, reconciliation, and time-to-insight.
Data Engineering and AI/ML operate as an integrated, business-focused
organization with clear priorities and dependable delivery.
AI/ML investments are governed responsibly, adopted meaningfully, and
connected to measurable outcomes.
The intelligence portfolio is transparent, financially disciplined, scalable,
and aligned to the highest-value business opportunities.
QUALIFICATIONS
Bachelor’s degree in computer science, data science, engineering, information
systems, analytics, business, or a related discipline; advanced degree
preferred.
Significant progressive leadership experience in enterprise data, analytics,
reporting, AI/ML, or related technology functions, including leadership of
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, with the ability to
simplify complex topics and build alignment across diverse stakeholders.
Proven ability to lead transformation, influence without direct authority,
resolve competing priorities, and sustain adoption through change.
Strong talent leadership, including the ability to attract, develop, engage,
and retain 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.
COMPENSATION & BENEFITS
We believe in taking care of our employees and their families. We offer a
comprehensive benefits package designed to support your health, well-being, and
financial future. Here’s a look at what we provide:
Compensation: $227K - $280K
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: Peace of mind and additional
protection.
Employer-Paid Short-Term and Long-Term Disability Insurance: Financial
support in case of illness or injury.
401(k) Plan: Save for your future with a company match to help you grow your
retirement savings.
PTO and Sick Time accrue each pay period: Take time off when you need it
Annual Bonus Program: Performance-based bonus to reward your hard work.
Remote work is not available in the following States:
California, Colorado, Connecticut, and New York.
#FidelityLifeAssociation #hiring #LI-Remote #IND-Corporate
EEOC/Other: eFinancial/Fidelity Life Association is an equal opportunity
employer and supports a diverse workplace. As an eFinancial/Fidelity Life
employee, you will be eligible for Medical and Dental Insurance, Health Savings
Accounts, Flexible Spending Accounts (Health, Dependent Care & Transit), Vision
Care, 401(K), Short-term and Long-term Disability, Life and AD&D coverages.