Senior Manager - AI Product Management

Edward Jones

🇺🇸 United States
On-site
Manager or above
1 day ago

AI
Data Architecture
AI/ML
Regulatory Compliance
Risk Management

Pension

1 day ago

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Opportunity Overview

TheSenior Manager, AI Product Manager leads a team responsible for a portfolio of AI products and reusable AI capabilities, including AI models, agents, retrieval systems, knowledge assets, platform capabilities, and other emerging AI technologies. This role combines the strategic product scope and expertise expected of a Lead AI Product Manager with direct accountability for associate leadership, team performance, and capability development.

The Senior Manager treatsAI itself as the product—owning product strategy, discovery, prioritization, adoption, lifecycle management, and measurable outcomes for reusable AI capabilities that serve multiple business areas, products, customer experiences, and enterprise workflows. The role ensures that AI capabilities are designed as durable, scalable products rather than one-time solutions.

Operating with significant autonomy, the Senior Manager shapes product direction, translates enterprise priorities and customer needs into roadmaps and investment decisions, and ensures measurable value creation. The role balances hands-on product leadership with responsibility for leading, coaching, and developing AI Product Managers and establishing clear priorities, accountability, and effective ways of working across the team.
The Senior Manager partners closely with leaders and colleagues across EJ Labs, Engineering, Data, Product Management, Architecture, Experience, Risk, and Business and Functional areas. The role influences enterprise AI direction, aligns interconnected products and capabilities, and ensures AI products remain reusable, explainable, reliable, well-governed, and aligned with responsible AI practices.

What You'll Do

Lead a team of AI Product Managers responsible for a portfolio of strategic AI products and reusable enterprise capabilities.
Define product strategy, value propositions, outcomes, priorities, roadmaps, investment needs, and success measures for assigned AI product and capability domains, balancing customer value, enterprise benefit, cost, risk, feasibility, and time to value.
Translate enterprise priorities, customer needs, market signals, and technical insights into scalable product strategies, requirements, evaluation criteria, and prioritized work.
Establish and lead rigorous continuous discovery practices across the portfolio, ensuring teams build deep understanding of customer needs, workflows, pain points, and desired outcomes and use primary customer research, prototypes, experiments, evaluations, proofs of concept, and pilots to test assumptions and guide product decisions.
Use customer evidence, product analytics, technical findings, and business measures to guide prioritization, investment, scaling, optimization, and retirement decisions.
Own the full product lifecycle from discovery and launch through adoption, operation, modernization, and retirement, including integration, enablement, documentation, change, support, and monitoring strategies.
Apply systems and platform thinking to ensure reusable AI products have clear customers, use cases, boundaries, interfaces, dependencies, supported uses, limitations, ownership, controls, and operating expectations—and operate coherently within the broader enterprise AI ecosystem.
Establish portfolio-level analytics and observability practices, ensuring teams define and use measures for customer value, business outcomes, adoption, reuse, quality, reliability, cost, operational performance, scalability, and risk to make evidence-based product decisions.
Influence and align product, engineering, data, architecture, cybersecurity, experience, risk, compliance, and business leaders around shared outcomes, resolving competing priorities, barriers, conflicts, and dependencies that affect effective operation and scale.
Apply AI product expertise, technical fluency, and sound judgment to challenge assumptions, evaluate alternatives, make timely decisions, and balance tradeoffs across customer value, business outcomes, feasibility, cost, risk, scalability, and time to value.
Recognize and manage AI limitations and risks while embedding responsible AI, privacy, security, legal, regulatory, accessibility, records, and model-risk requirements throughout the product lifecycle.
Communicate product strategy, health, progress, priorities, risks, dependencies, assumptions, tradeoffs, and outcomes to senior leaders and stakeholders, serving as a trusted advisor across business, technology, product, risk, and operations.
Establish clear team priorities, roles, decision rights, performance expectations, and accountability; allocate capacity and coordinate staffing, sequencing, and dependencies with product leadership and delivery partners.
Select, onboard, coach, develop, and retain AI Product Management talent; build deep product craft across the team through regular feedback, performance management, targeted development experiences, career pathways, and differentiated coaching.
Establish and promote reusable Product Management frameworks, standards, evaluation practices, governance, and customer-centered ways of working, while strengthening organizational capability through coaching, mentoring, communities of practice, and shared lessons.

Position Requirements

Minimum Knowledge

Bachelor's degree in computer science, engineering, product management or related field.
7+ years experience in product management, including translating business needs into technical requirements and leading product discovery and validation.
3+ years' experience in AI/ML.
Strong understanding of AI technologies and financial services.
Product operating model methodologies, including AI driven PDLC.
AI technologies and their applications in business contexts.
Metrics and frameworks for tracking product AI model and agent success and impact.
Responsible AI practices and regulatory compliance requirements.
User experience (UX) principles and their integration into product AI capability design.

Preferred Knowledge

Master’s Degree in Artificial Intelligence, Product Management, or a related field.
3+ years’ experience in AI product management, with a focus on responsible AI practices and regulatory compliance in a financial services context.
Financial services industry practices and regulations.
Emerging trends in AI product model and agent development and management.
Data governance and integrity management.
Risk management and compliance in AI product AI model and agent development.

Candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office four days per week.

Talent Capability and Generations Hub Locations: Colleagues assigned to work within a Talent Capability or Generations Hub are expected to work a minimum of four in-office days per week, unless engaged in business offsite. Any changes in strategic direction will be determined by the General Partner responsible for the business segment.

Company Description

Join a financial services firm where your contributions are valued. Edward Jones is a Fortune 500¹ company where people come first. With over 9 million clients and 20,000 financial advisors across the U.S. and Canada, we’re proud to be privately-owned, placing the focus on our clients rather than shareholder returns.

Behind everything we do is our purpose: We partner for positive impact to improve the lives of our clients and colleagues, and together, better our communities and society. We are an innovative, flexible, and inclusive organization that attracts, develops, and inspires performance excellence and a sense of belonging.

People are at the center of our partnership. Edward Jones associates are seen, heard, respected, and supported. This is what we believe makes us the best place to start or build your career.

View ourPurpose, Inclusion and Citizenship Report.

¹Fortune 500, published June 2024, data as of December 2023. Compensation provided for using, not obtaining, the rating.

Awards and Accolades

At Edward Jones, we are building a place where everyone feels like they belong. We're proud of our associates' contributions to the firm and the recognitions we have received.

Check out our U.S. awards and accolades:Insights & Information Blog Postings about Edward Jones

Check out our Canadian awards and accolades:Insights & Information Blog Postings about Edward Jones

EEO Statement

Edward Jones does not discriminate on the basis of race, color, gender, religion, national origin, age, disability, sexual orientation, pregnancy, veteran status, genetic information or any other basis prohibited by applicable law.

Salary Information

Edward Jones' compensation and benefits package includes medical and prescription drug, dental, vision, voluntary benefits (such as accident, hospital indemnity, and critical illness), short- and long-term disability, basic life, and basic AD&D coverage. Short- and long-term disability, basic life, and basic AD&D coverage are provided at no cost to associates. Edward Jones offers a 401k retirement plan, and tax-advantaged accounts: health savings account, and flexible spending account. Edward Jones observes ten paid holidays and provides 15 days of vacation for new associates beginning on January 1 of each year, as well as sick time, personal days, and a paid day for volunteerism. Associates may be eligible for bonuses and profit sharing. All associates are eligible for the firm's Employee Assistance Program. For more information on the Benefits available to Edward Jones associates, please visit ourbenefits page.

Position Schedule: Full-Time
Posting Location: Arizona, Tempe, Missouri, St. Louis, New York, New York
External Work Arrangements: Home-Based
Position Type: Home Office
Recruiter: Tara Beiermann
Country: United States
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Senior Manager - AI Product Management · Edward Jones

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