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Lead AI Product Manager

Job in New York, New York County, New York, 10261, USA
Listing for: Voya Financial
Full Time position
Listed on 2026-08-03
Job specializations:
  • Business
    AI Business & Operations
Salary/Wage Range or Industry Benchmark: 131000 - 184000 USD Yearly USD 131000.00 184000.00 YEAR
Job Description & How to Apply Below
Location: New York

Together we fight for everyone’s opportunity for a better financial future. We will do this together — with customers, partners and colleagues. We will fight for others, not against:
We will stand up for and champion everyone’s access to opportunities. The status quo is not good enough … we believe every individual and every community deserves access to financial opportunities. We are determined to support both individuals and communities in reaching a better financial future. We know that reaching this future depends on our actions today.

Like our Purpose Statement, Voya believes in being bold and committed to action. We are committed to a work environment where the differences that we are born with — and those we acquire throughout our lives — are understood, valued and intentionally pursued. We believe that our employees own our culture and have a responsibility to foster an environment where we all feel comfortable bringing our whole selves to work.

Purposefully bringing our differences together to positively influence our culture, serve our clients and enrich our communities is essential to our vision.

Get To Know The Opportunity

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 development, and go-to-market execution for AI-powered experiences that support retirement plan participants, financial advisors, and plan sponsor clients.

The role requires strong technical fluency in large language models (LLMs), agentic systems, AI evaluation methodologies, and regulated product development. Working across business, technology, compliance, legal, and risk functions, the Lead AI Product Manager identifies high-impact opportunities and delivers AI-enabled solutions that drive measurable customer and business outcomes.

The Contributions You’ll Make
  • Define and lead AI product strategy and a 12-18 month roadmap across participant engagement, advisor enablement, plan administration, and investment-related experiences.
  • Identify, evaluate, and prioritize AI opportunities through customer research, behavioral insights, workflow analysis, and competitive market intelligence.
  • Establish success metrics and own business outcomes, including engagement, adoption, operational efficiency, and retirement readiness improvements.
  • Lead discovery efforts with financial advisors, plan sponsors, administrators, and participants to translate business needs into product requirements and technical specifications.
  • Partner closely with engineering teams to evaluate prototypes, assess solution approaches, and drive informed product trade-off decisions.
  • Support rapid product iteration and delivery from concept through launch and adoption.
  • Ensure AI-powered solutions comply with legal, regulatory fiduciary compliance, and risk management requirements.
  • Drive go-to-market planning, rollout strategies, stakeholder communications, and adoption measurement for AI-enabled products.
  • Build alignment across business, technology, compliance, legal, risk, and investment stakeholders while influencing without direct authority.
  • Advocate for customer‑centric product decisions while balancing business objectives, technical feasibility, and regulatory considerations.
Minimum Knowledge & Experience
  • Bachelor’s degree required.
  • 8+ years of product management experience, including at least 4 years supporting AI or machine learning products within technology, fintech, or financial services environments.
  • Proven experience delivering AI-powered products from discovery through launch and measurable adoption.
  • Strong knowledge of LLM-based products, retrieval‑augmented generation (RAG), agentic workflows, model evaluation frameworks, experimentation methodologies, and data‑driven product development.
  • Demonstrated ability to write clear, comprehensive product requirements and technical specifications for engineering teams.
  • Experience working within regulated environments and partnering with compliance, legal, and risk stakeholders.
  • Strong understanding of retirement, wealth management, or financial services products,…
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