Assistant Vice President, Product Management

Voya Financial, Inc.; Boston (MA); Hybrid; USD 171,000 - 214,000; Full time

Benefits offered by this job

Health insurance

401(k) Savings plan with company match

Tuition reimbursement

Paid time off

Job summary

Voya Financial, Inc. is seeking an Assistant Vice President of Product Management for the Advisor Experience to own the technology product roadmap and deliver AI-native tools that enhance advisor capacity and client outcomes.

You will partner with field leadership to define problems, write PRDs, and drive AI-enabled solutions while maintaining fiduciary and regulatory standards. The role requires 10+ years in product management with 4+ years in AI/ML, plus leadership in a regulated financial

Qualifications

• 10+ years of product management experience, with at least 4 years in AI/ML or digital product roles at a technology company, fintech, or financial services firm.
• Demonstrated track record of shipping digital or AI-powered products to production — owning the lifecycle from discovery through measurable adoption.
• Leadership experience: has led product managers or owned a product workstream and defined a roadmap for an area independently.
• Prior ownership of products in a regulated environment (wealth, brokerage, or financial services); experience navigating compliance, supervision, and legal review as part of the standard product process.
• Experience influencing VP-and-above stakeholders without direct authority.

Responsibilities

• Own the Advisor Experience Technology Product Roadmap across advisor copilot, proposal generation, client context, and next-best-action.
• Partner with Wealth Management leadership, advisors, field operations to identify problems and shape AI-enabled solutions.
• Write PRDs and technical specs for a small AI engineering team; define acceptance criteria for model quality, latency, and fiduciary output constraints.
• Drive rapid prototype cycles and ensure AI outputs support advisor judgment with human-in-the-loop where appropriate.
• Lead a team of product managers or workstreams; build relationships with Wealth Management, Compliance, and Supervision.

Skills

LLM product experience

Agentic AI product design

Model evaluation & metrics

Data fluency

Experimentation

Advisor workflow knowledge

Education

Bachelor’s degree in Computer Science or related field

MBA or Master’s in quantitative/business field preferred

Tools

SQL

Job description

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.

About the role

Voya Financial is hiring an Assistant Vice President of Product Management for the Advisor Experience.

This is an exciting opportunity to own the technology product roadmap for Voya’s advisor experience — partnering with the field to identify the problems worth solving, then delivering the AI-native tools that expand advisor capacity and improve client outcomes.

What you’ll do

• Own the Advisor Experience Technology Product Roadmap Define and maintain a 12–18 month technology product roadmap across the advisor copilot, proposal generation, client context, and next-best-action — with clear prioritization rationale and measurable milestones. Prioritize using advisor workflow research, adoption and usage data, field feedback, and competitive analysis; build the business cases that support investment decisions. Define outcome-oriented success metrics — advisor capacity and time saved, proposal cycle time, active adoption, advisor satisfaction, and downstream client funding and conversion — and own accountability for those numbers post-launch.
• Partner With the Business to Identify Problems & Shape Solutions Partner with Wealth Management leadership, advisors (RAD and Investor Channel), field operations, and distribution to identify, frame, and prioritize the business problems worth solving, bringing engineering and AI feasibility into the conversation so the problem definition and the technology response are shaped together. Lead structured discovery with advisors — including direct observation of how they actually work — translating advisor workflow problems into crisp product specs and the technology solutions that address them. Write PRDs and technical specifications a small AI engineering team can execute against; define acceptance criteria that account for model quality thresholds, latency targets, and suitability and fiduciary output constraints. Maintain working fluency in the advisor workflow: prospecting, meeting preparation, proposal and portfolio construction, ongoing service, and book management — well enough to identify where AI changes outcomes at each stage.
• Drive AI-Native Advisor Tools Own the product direction for the advisor copilot — meeting preparation, cross-channel client context, proposal drafting, and next-best-action — and evaluate RAG pipeline and agent behavior quality directly in staging. Drive rapid prototype cycles — a working demo in days, not sprints — and use working software to earn advisor and stakeholder trust faster than slide decks. Ensure AI outputs are structured to support — not replace — advisor judgment, with human-in-the-loop where appropriate, consistent with suitability obligations and the 2026 interagency model risk management guidance. Deliver With Engineering & Partners Partner daily with AI engineers; make real-time trade-off calls throughout the build cycle. Coordinate product launches with Compliance, Legal, Supervision, field enablement, and operations; own go-to-market: advisor training, rollout sequencing, and adoption measurement. Partner with the rollover and Retirement-to-Wealth product owners so advisor tools actively support capture at the job-change moment.
• Lead & Develop Lead a small team of product managers or a defined workstream; coach junior PMs and help raise the team hiring bar. Build trusted relationships across Wealth Management, distribution, Compliance, and Supervision — influencing VP-and-above stakeholders across business units. Identify compliance and supervisory risk exposure before it becomes an escalation.

Education

Bachelor’s degree in Computer Science, Engineering, Finance, Economics, Mathematics, or a related discipline required; MBA or Master’s in a quantitative or business field preferred. Equivalent professional experience considered.

Experience

• 10+ years of product management experience, with at least 4 years in AI/ML or digital product roles at a technology company, fintech, or financial services firm.
• Demonstrated track record of shipping digital or AI-powered products to production — owning the lifecycle from discovery through measurable adoption.
• Leadership experience: has led product managers or owned a product workstream and defined a roadmap for an area independently.
• Prior ownership of products in a regulated environment (wealth, brokerage, or financial services); experience navigating compliance, supervision, and legal review as part of the standard product process.
• Experience influencing VP-and-above stakeholders without direct authority.

AI & Technical Fluency — Required

• LLM product experience: shipped at least one production feature using large language models; understands prompt and system-prompt design, context window management, and structured output extraction.
• Agentic AI product design: understands tool use and multi-step reasoning, and where agents fail and how those failures affect advisor use cases.
• Model evaluation and metrics: can define evaluation frameworks and assess whether an eval suite covers the right failure modes for an advisor context.
• Data fluency: comfortable interrogating SQL and forming hypotheses from advisor usage and behavioral data; uses AI coding and agentic tools daily.
• Experimentation: A/B test design, cohort analysis, and shadow-deployment patterns for AI features in production.

Advisor & Wealth Domain — Required

• The advisor workflow and book-of-business management: how advisors prospect, prepare, propose, transact, and service clients across a book.
• Advisory models and the retail advice and brokerage ecosystem: UMA/SMA and managed accounts, proposal and portfolio construction, and custody/clearing and platform providers (e.g., Pershing, Schwab, Envestnet, Apex).
• Suitability and conduct standards that shape advisor tools: Reg BI, fiduciary considerations, and how AI-generated recommendations must be governed.
• FINRA supervision and communications-review requirements (books and records, correspondence supervision) and how they constrain advisor-facing AI features.
• How advisor productivity tools drive capacity and support rollover capture and client funding.

Licensing / Regulatory Requirement

• FINRA Securities Industry Essentials (SIE) required, or will need to be obtained early on in employment.
• Series 7 a plus given the advisor-facing nature of the role.

Preferred qualifications

• Direct experience building advisor-platform or advisor-productivity products at a broker-dealer, RIA platform, asset manager, or wealth-focused fintech.
• CFP, CFA (or candidate), CIMA, or equivalent credentials.
• History of building 0→1 AI products in an innovation lab or startup-within-a-large-institution context.
• Hands‑on experience with MCP (Model Context Protocol) integrations or multi-agent product design.
• PMP, SAFe, or equivalent certification; voice-of-advisor research at scale (field studies, in-product feedback loops, adoption cohort analysis).

Voya is committed to pay that’s fair and equitable, which means comparable pay for comparable roles and responsibilities. The below annual base salary range reflects the expected hiring range(s) for this position in the location(s) listed. 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. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Voya Financial is willing to pay at the time of this posting. Actual compensation offered may vary from the posted salary range 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.

$171,300 - $214,120 USD

Be Well. Stay Well.

• 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.
• Learn more about Voya benefits (download PDF)

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.

Learn more about Critical Skills

Equal Employment Opportunity

Voya Financial is an equal‑opportunity employer. Voya Financial provides equal opportunity to qualified individuals regardless of race, color, sex, national origin, citizenship status, religion, age, disability, veteran status, creed, marital status, sexual orientation, gender identity, genetic information, or any other status protected by state or local law.

Reasonable Accommodations

Voya is committed to the inclusion of all qualified individuals. As part of this commitment, Voya will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please reference resources for applicants with disabilities.

Misuse of Voya's name in fraud schemes

Voya Financial, Inc., is a leading retirement, employee benefits and investment management company. Voya’s services and solutions help clear the path to financial confidence and a more fulfilling life for individual, workplace and institutional clients, supporting more than 18 million customer relationships. Certified as a “Great Place to Work” by the Great Place to Work® Institute, Voya fosters a culture that values customer centricity, integrity, accountability, agility and inclusivity. Together with customers and partners, Voya employees fight for everyone's opportunity for a better financial future. For more information visit https://www.voya.com/ Voya’s values serve as our compass, bringing together our culture, performance, brand, vision, strategy and corporate responsibility activities. Our values guide our decision‑making and behaviors allowing us to deliver worth to our customers, distribution partners, shareholders and each other. With a lens on balance. health & welfare, our work environment offers flexibility. The majority of our roles have adopted a hybrid schedule — working some days in the office and some days remotely, providing flexibility for work‑life balance and still allowing the benefit of in‑person collaboration. Some functions will continue to be 100% on‑site and others may be fully remote, depending on business needs. We care We do the right thing We have customer passion We have a winning spirit We are the We Certified by the Great Place to Work® Institute as a Great Place to Work® for the 10th consecutive year, Voya is equally committed to conducting business in a way that is socially, environmentally, economically and ethically responsible. Voya’s culture is proudly recognized by multiple organizations. See a full listing of our awards and recognition.