Lead AI Product Manager

Voya Financial • Atlanta, GA

7d

About The Position

The Lead AI Product Manager is a senior individual contributor responsible for defining and executing AI product strategy for digital and wealth management solutions. The role owns product vision, roadmap, and go-to-market execution for AI-powered experiences supporting retirement plan participants, financial advisors, and plan sponsor clients. It calls for technical fluency in large language models, agentic systems, AI evaluation, and regulated product development, along with business judgment to prioritize opportunities and deliver measurable outcomes.

The role defines an AI strategy and 12–18 month roadmap across participant engagement, advisor enablement, plan administration, and investment-related experiences. It identifies and prioritizes opportunities through customer research, behavioral data, workflow analysis, and competitive insights; establishes success metrics; and owns outcomes such as engagement, adoption, operational efficiency, and retirement readiness improvements.

The product manager leads discovery with advisors, plan sponsors, administrators, and participants, translating their needs into product requirements and technical specifications. They partner with engineering through prototyping, product trade-offs, iteration, and launch; ensure solutions meet compliance, legal, risk, and fiduciary standards; and lead go-to-market planning, rollout sequencing, stakeholder communication, and adoption measurement. The role builds alignment across business, technology, compliance, and investment stakeholders and influences without direct authority.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Finance, Economics, Mathematics, or a related quantitative field.
• At least 8 years of product management experience, including at least 4 years in AI or machine learning product roles within technology, fintech, or financial services.
• Proven experience delivering AI-powered products from discovery through launch and measurable adoption.
• Strong knowledge of LLM-based products, retrieval-augmented generation, agentic workflows, model evaluation frameworks, experimentation methods, and data-informed product development.
• Ability to write high-quality product requirements and technical specifications for engineering teams.
• Experience working in regulated environments and partnering with compliance, legal, and risk stakeholders.
• Strong understanding of retirement, wealth, or financial services products, including fiduciary considerations and participant or advisor workflows.
• Excellent communication, prioritization, and stakeholder management skills, including the ability to influence senior leaders and cross-functional teams.

Nice To Haves

• An advanced degree.

Responsibilities

• Define and lead AI product strategy and a 12–18 month roadmap across participant engagement, advisor enablement, plan administration, and investment-related experiences.
• Identify, assess, and prioritize AI opportunities using customer research, behavioral data, workflow analysis, and competitive insights.
• Establish success metrics and own business outcomes, including engagement, adoption, operational efficiency, and retirement readiness improvements.
• Lead discovery with advisors, plan sponsors, administrators, and participants, translating business needs into product requirements and technical specifications.
• Partner with engineering teams to evaluate prototypes, guide product trade-offs, and support rapid iteration through launch.
• Ensure solutions meet compliance, legal, risk, and fiduciary standards in a regulated financial services environment.
• Drive go-to-market planning, rollout sequencing, stakeholder communication, and adoption measurement for AI-enabled products.
• Build alignment across senior business, technology, compliance, and investment stakeholders, influencing without direct authority.

Benefits

• Health, dental, vision, and life insurance plans.
• 401(k) savings plan with company matching contributions up to 6%.
• Employer-paid Voya Retirement Plan cash balance retirement plan (4%).
• Tuition reimbursement up to $5,250 per year.
• 20 days of paid time off, nine paid company holidays, and a flexible Diversity Celebration Day.
• 40 hours of paid volunteer time per calendar year.
• Incentive opportunities, such as annual cash incentives, sales incentives, and/or long-term incentives, depending on the role.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior