Job description

This job posting is anticipated to remain open for 30 days, from 12-Sep-2026. The posting may close early due to the volume of applicants. 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 our Purpose, Inclusion and Citizenship Report . ¹Fortune 500, published June 2024, data as of December 2023. Compensation provided for using, not obtaining, the rating. The Lead AI Product Manager is responsible for shaping and leading the firm's most complex and strategically significant enterprise AI products and reusable AI capabilities that serve multiple products, business domains, customer experiences, and enterprise workflows. This role treats AI as the product, owning the strategy, discovery, prioritization, adoption, lifecycle management, and measurable outcomes of shared AI capabilities rather than discrete applications. Operating with significant autonomy, the Senior Lead defines AI product direction, drives discovery and prioritization, and ensures measurable value creation through scalable, reusable AI solutions. The Lead AI Product Manager may be accountable for one or more strategic AI product or capability domains. Depending on organizational priorities, customer needs, and business strategy, these domains may focus on enabling AI creation and adoption, delivering AI-powered experiences, providing trusted information and intelligence, driving automation and decision support, or ensuring the governance, reliability, and operation of AI solutions. Specific products and services within these domains may evolve over time and can include reusable AI capabilities such as models, agents, skills, functions, tools, knowledge, retrieval capabilities, builder experiences, low-code solutions, platform capabilities, governance services, observability capabilities, and other emerging AI technologies. This role influences product and capability strategy across interconnected AI products, helps shape enterprise AI direction, and serves as a trusted advisor to business, technology, product, risk, and operational leaders. The Senior Lead works closely with colleagues across Engineering, Data, Product Management, Architecture, Experience, Risk, and Business areas to ensure AI capabilities deliver measurable customer and business value while remaining scalable, reusable, explainable, and aligned with responsible AI practices. The role also strengthens AI Product Management capabilities across the organization through product leadership, coaching, mentoring, collaboration, and the advancement of AI Product Management best practices. Specific products within these domains may include models, agents, skills, functions, tools, retrieval capabilities, low-code solutions, builder experiences, observability capabilities, governance services, and other emerging AI technologies. The Lead AI Product Manager is expected to provide strategic product leadership for a capability domain while ensuring the underlying products, services, and experiences are scalable, reusable, measurable, and aligned with enterprise objectives. What You'll Do • Define the vision, value proposition, outcomes, priorities, roadmap, and investment strategy for strategic AI products and capability domains. • Translate enterprise priorities and customer needs into scalable product strategies, requirements, evaluation criteria, and prioritized work. • Lead continuous discovery and test hypotheses through research, prototypes, experiments, evaluations, proofs of concept, and pilots. • Use customer evidence, product data, 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, remaining accountable for customer value, business outcomes, reuse, product health, risk, and value realization. • Define the end-to-end product experience, including customers, use cases, AI behavior, data and knowledge needs, integrations, human oversight, controls, monitoring, support, and service expectations. • Create reusable AI products with clear boundaries, consumers, interfaces, dependencies, supported uses, limitations, ownership, and operating expectations. • Promote interoperable patterns across models, agents, skills, knowledge assets, workflows, platforms, and governance capabilities while balancing local needs with enterprise scale and standardization. • Apply deep AI product expertise and technical fluency to challenge assumptions, evaluate alternatives, identify dependencies, and make informed tradeoffs with engineering, data, architecture, cybersecurity, experience, and business teams. • Recognize and manage AI limitations and risks, including unreliable outputs, bias, data leakage, inappropriate actions, security threats, model drift, and workflow failure. • Define success measures for customer value, business outcomes, adoption, reuse, quality, reliability, cost, operational performance, scalability, and risk. • Lead cross-functional teams toward measurable outcomes and communicate product health, risks, assumptions, dependencies, tradeoffs, and lessons learned to senior leaders and stakeholders. • Define launch, integration, enablement, documentation, change, support, monitoring, and adoption strategies, and resolve barriers to effective operation and scale. • Embed responsible AI, privacy, security, legal, regulatory, accessibility, records, and model-risk requirements throughout the product lifecycle, with clear intended uses, limitations, controls, oversight, and escalation paths. • Serve as a trusted advisor, coach and mentor Product Managers, and establish reusable frameworks, standards, evaluation practices, and customer-centered ways of working across the firm. Minimum Knowledge: • Bachelor's degree in a relevant technical, product, analytics, or business field, or equivalent professional experience. • 7+ years of Product Management experience, including ownership of complex technology, platform, data, digital, or AI products. • 3+ years of experience with AI, machine learning, generative AI, agentic systems, intelligent automation, AI platforms, or advanced analytics. • Demonstrated success owning strategic products or reusable capabilities across multiple customers, teams, domains, products, or enterprise workflows. • Deep expertise in at least one AI product specialty, with broad knowledge of enterprise AI technologies, data, platforms, governance, and architecture. • Advanced Product Management skills in strategy, discovery, experimentation, prioritization, roadmaps, analytics, adoption, and lifecycle management. • Ability to translate complex customer and business needs into product outcomes, technical requirements, evaluation criteria, and prioritized work. • Experience defining product success measures and evaluating tradeoffs across customer value, feasibility, cost, quality, performance, reuse, risk, and time to value. • Advanced understanding of responsible AI, governance, privacy, security, compliance, model risk, monitoring, and enterprise controls. • Proven ability to influence senior leaders, lead cross-functional teams, coach others, and communicate complex topics clearly. Preferred Knowledge: • Master's degree in a relevant technical, product, or business field. • Experience leading enterprise AI products or reusable capabilities in financial services or another highly regulated industry. • Experience with low-code, no-code, and pro-code AI ecosystems, including Microsoft Copilot Studio, Power Platform, Azure AI, Databricks, or comparable technologies. • Experience defining AI evaluation, monitoring, observability, governance, security, privacy, model-risk, or regulatory controls. • Experience developing Product Management frameworks, organizational capabilities, communities of practice, or talent through coaching and mentoring. 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. 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 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. 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 our benefits page . Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act. Edward Jones is prohibited from hiring individuals with certain specified criminal history as set forth in Section 3(a)(39) and 15(b)(4) and Rule 17a-3(a)(12) of the Securities and Exchange Act of 1934, and conducts background reviews consistent with FINRA Rule 3110(e). A copy of a notice regarding the provisions of the Los Angeles County Fair Chance Ordinance is available at: dcba.lacounty.gov/wp-content/uploads/2024/08/FCOE-Official-Notice-Eng-Final-8.30.2024.pdf . Locations: Saint Louis, MO; Washington, DC; New York, NY

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Must-haves

This job posting is anticipated to remain open for 30 days, from 12-Sep-2026. The posting may close early due to the volume of applicants.
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 our Purpose, Inclusion and Citizenship Report .
¹Fortune 500, published June 2024, data as of December 2023. Compensation provided for using, not obtaining, the rating.
The role also strengthens AI Product Management capabilities across the organization through product leadership, coaching, mentoring, collaboration, and the advancement of AI Product Management best practices.
Define the vision, value proposition, outcomes, priorities, roadmap, and investment strategy for strategic AI products and capability domains.
Translate enterprise priorities and customer needs into scalable product strategies, requirements, evaluation criteria, and prioritized work.
Lead continuous discovery and test hypotheses through research, prototypes, experiments, evaluations, proofs of concept, and pilots.
Use customer evidence, product data, technical findings, and business measures to guide prioritization, investment, scaling, optimization, and retirement decisions.
Define the end-to-end product experience, including customers, use cases, AI behavior, data and knowledge needs, integrations, human oversight, controls, monitoring, support, and service expectations.
Create reusable AI products with clear boundaries, consumers, interfaces, dependencies, supported uses, limitations, ownership, and operating expectations.
Promote interoperable patterns across models, agents, skills, knowledge assets, workflows, platforms, and governance capabilities while balancing local needs with enterprise scale and standardization.
Recognize and manage AI limitations and risks, including unreliable outputs, bias, data leakage, inappropriate actions, security threats, model drift, and workflow failure.
Define success measures for customer value, business outcomes, adoption, reuse, quality, reliability, cost, operational performance, scalability, and risk.
Lead cross-functional teams toward measurable outcomes and communicate product health, risks, assumptions, dependencies, tradeoffs, and lessons learned to senior leaders and stakeholders.
Define launch, integration, enablement, documentation, change, support, monitoring, and adoption strategies, and resolve barriers to effective operation and scale.
Serve as a trusted advisor, coach and mentor Product Managers, and establish reusable frameworks, standards, evaluation practices, and customer-centered ways of working across the firm.
Bachelor's degree in a relevant technical, product, analytics, or business field, or equivalent professional experience.
7+ years of Product Management experience, including ownership of complex technology, platform, data, digital, or AI products.
3+ years of experience with AI, machine learning, generative AI, agentic systems, intelligent automation, AI platforms, or advanced analytics.
Demonstrated success owning strategic products or reusable capabilities across multiple customers, teams, domains, products, or enterprise workflows.
Deep expertise in at least one AI product specialty, with broad knowledge of enterprise AI technologies, data, platforms, governance, and architecture.
Advanced Product Management skills in strategy, discovery, experimentation, prioritization, roadmaps, analytics, adoption, and lifecycle management.
Ability to translate complex customer and business needs into product outcomes, technical requirements, evaluation criteria, and prioritized work.

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Keywords to mirror

aiaccessibilitymachine learningazure

Platform: edward-jones
Effort: medium

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Dental

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401k