(Remote) VP Enterprise Intelligence

Fidelity Life; Oregon; Hybride; USD 227 000 - 280 000; Plein temps

Avantages offerts par ce poste

Medical Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

401(k) Plan

PTO and Sick Time

Résumé du poste

Fidelity Life seeks a senior technology and business leader to shape the intelligence agenda for US Life Insurance. As VP of Enterprise Intelligence, you will lead Data Engineering and AI/ML teams, partnering with CTO and executives to unify analytics and governance across the business.

You will drive reporting, data foundations, and responsible AI capabilities to improve decision making, efficiency, and growth, guiding strategy with enterprise stakeholders across operations, marketing, product,

Qualifications

• Bachelor's degree in CS, data science, engineering, information systems, analytics, business, or related field.
• Significant progressive leadership experience in enterprise data, analytics, reporting, AI/ML, or related technology functions.
• Proven ability to define and execute 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.

Responsabilités

• 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.

Connaissances

Leadership

Executive presence

Communication

Data/AI strategy

Change management

Talent leadership

Life insurance knowledge

Cross-functional collaboration

Formation

Bachelor's degree in CS / related field

Advanced degree preferred

Description du poste

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

• 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.

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

• 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.

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.