Senior Director, AI Product Management

Job DescriptionThe Senior Director, AI Product Manager is responsible for setting the strategy for the firm’s portfolio of enterprise AI products, including reusable AI models and agents that power multiple downstream business and functional experiences. This role leads a team of AI Product Managers and serves as the senior product authority for AI-as-a-product across the firm - from ideation and discovery through launch, adoption, and ongoing optimization.Building on deep hands-on experience in AI product management, this leader ensures that AI products are designed as scalable, reusable capabilities rather than one-off solutions. The role translates firmwide business strategy into a cohesive AI product roadmap, defines success metrics for AI value creation, and ensures consistent application of responsible AI practices and regulatory expectations across the AI product portfolio. This role treats AI itself as the product - owning shared AI models and agent's capabilities that are consumed across multiple products and platforms.Sitting within the AI, Data, and Emerging Technology Lab inside EJ Labs, the Senior Director of AI Product Manager partners closely with senior leaders across Engineering, Data, Product Management, Experience, Risk, Compliance, and Business and Functional areas. This role acts as a connector across the full AI product lifecycle, while also serving as a people leader -coaching, developing, and scaling high-performing AI Product Managers to deliver measurable business impact.What You'll DoSet the enterprise vision and strategy for AI products, including reusable AI models and agents, aligning AI capabilities to firmwide priorities and business outcomes. Lead, coach, and develop a team of AI Product Managers, establishing clear standards for discovery, delivery, value measurement, and lifecycle management. Translate complex business needs into clear, actionable technical and product requirements for enterprise AI products and shared AI capabilities. Oversee product discovery, validation, and prioritization across the AI product portfolio, ensuring consistent application of hypothesis-driven and outcome-oriented practices. Define and govern success metrics for AI models and agents, including performance, adoption, reusability, scalability, and business impact. Ensure responsible AI practices, risk management, and regulatory compliance are embedded throughout the AI product lifecycle. Partner with Business and Functional leaders to identify high-value AI opportunities and expand the art of the possible for AI-enabled transformation. Collaborate with Engineering, Data, Experience, and Product Management leaders to ensure AI products are reliable, explainable, secure, and easily integrated into downstream systems. Communicate AI product strategy, progress, risks, and outcomes to senior stakeholders and executive leadership. Shape and maintain AI product roadmaps, themes, initiatives, epics, and user stories in alignment with enterprise priorities. Guide lifecycle ownership of AI models and agents, including versioning, monitoring, retraining strategies, and continuous improvement. Ensure AI models and agents are designed for reuse across low-code agents, mini applications, applets, and internal tooling. Support portfolio-level resource planning, dependency management, and risk mitigation across multiple AI product teams. Partner closely with Digital Product Management leaders to ensure shared AI capabilities meet downstream product needs and drive adoption at scale. Stay current on emerging AI trends, technologies, and regulatory developments, translating insights into product strategy and capability evolution. Company DescriptionJoin 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.Awards and AccoladesAt 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 JonesCheck out our Canadian awards and accolades: Insights & Information Blog Postings about Edward JonesAwards and AccoladesEdward 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.RequirementsBachelor’s degree in computer science, engineering, product management, or a related field. 12+ years of product management experience, including leading complex, technology-driven products from discovery through lifecycle management. 5+ years of experience in AI/ML product development, including ownership of AI models or agent-based capabilities, at commercial scale. Demonstrated people leadership experience, including building, coaching, and leading product management teams. Strong understanding of AI technologies, model and agent lifecycles, and their application within financial services. Expertise in product operating models, including AI-driven product development lifecycle (PDLC). Experience defining and tracking metrics for AI product performance, adoption, and business impact. Deep knowledge of responsible AI practices, governance, and regulatory considerations. Strong collaboration and influence skills across business, technology, risk, and compliance partners. What will set you apart: Master’s degree in Artificial Intelligence, Product Management, or a related field. Advanced experience leading enterprise AI product portfolios in a regulated financial services environment. Strong understanding of financial services industry practices, risk management, and regulatory frameworks. Experience with data governance, model risk management, and AI compliance. Familiarity with emerging trends in AI model and agent development, deployment, and monitoring. Experience communicating AI strategy and outcomes to executive and senior leadership audiences.