Lead AI Product Manager

About the Role

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

Responsibilities

• Define and lead the AI product strategy and 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 clear success metrics and own business outcomes such as engagement, adoption, operational efficiency, and retirement readiness improvements.
• Lead discovery with advisors, plan sponsors, administrators, and participants to translate business needs into clear product requirements and technical specifications.
• Partner closely 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 within 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 stakeholders in business, technology, compliance, and investment teams while influencing without direct authority.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Finance, Economics, Mathematics, or a related quantitative field required; advanced degree preferred.
• 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, with the ability to influence senior leaders and cross-functional teams.

Compensation

Base salary range: $130,970 - $183,680 USD. In addition to base salary, Voya offers incentive opportunities (i.e., annual cash incentives, sales incentives, and/or long-term incentives) based on the role to reward the achievement of annual performance objectives. Actual compensation offered may vary based upon the candidate's geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Benefits

• Health, dental, vision and life insurance plans
• 401(k) Savings plan – with generous company matching contributions (up to 6%)
• Voya Retirement Plan – employer paid cash balance retirement plan (4%)
• Tuition reimbursement up to $5,250/year
• Paid time off – including 20 days paid time off, nine paid company holidays and a flexible Diversity Celebration Day
• Paid volunteer time — 40 hours per calendar year

Critical Skills

• Customer Focused: Passionate drive to delight our customers and offer unique solutions that deliver on their expectations.
• Critical Thinking: Thoughtful process of analyzing data and problem solving data to reach a well-reasoned solution.
• Team Mentality: Partnering effectively to drive our culture and execute on our common goals.
• Business Acumen: Appreciation and understanding of the financial services industry in order to make sound business decisions.
• Learning Agility: Openness to new ways of thinking and acquiring new skills to retain a competitive advantage.