Senior AI Product Manager - Enterprise AI (Finance)

Edward Jones; St. Louis (MO); Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

Medical and prescription drug

Dental

Vision

Retirement plan (401k)

Paid holidays

Vacation days

Job summary

Edward Jones is seeking a Senior AI Product Manager to shape and lead enterprise AI products, owning strategy, discovery, adoption, and governance. You will drive measurable outcomes across multiple domains, partnering with Engineering, Data, Architecture, and Risk to deliver scalable, responsible AI capabilities.

You will influence stakeholders, set roadmaps, and translate complex needs into actionable product plans while ensuring safety, compliance, and value realization across the

Qualifications

• Bachelor’s degree in a relevant technical, product, analytics, or business field, or equivalent professional experience.
• Five or more years of Product Management experience, including ownership of complex technology, platform, data, digital, or AI products.
• 1+ 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.
• Familiarity in at least one AI product specialty, with broad knowledge of enterprise AI technologies, data, platforms, governance, and architecture.
• 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.
• A strong understanding of responsible AI, governance, privacy, security, compliance, model risk, monitoring, and enterprise controls.
• Proven ability to influence leaders, lead cross-functional teams, coach others, and communicate complex topics clearly.

Responsibilities

• Set the vision, value proposition, outcomes, priorities, and roadmap for strategic AI products and capability domains.
• Translate customer needs and business priorities into scalable AI product strategies, investment recommendations, product outcomes, requirements, evaluation criteria, and prioritized work.
• Identify opportunities, dependencies, risks, overlaps, and tradeoffs across interconnected AI products and capabilities.
• Own strategic AI products across the lifecycle, from discovery and launch through adoption, optimization, and retirement.
• Define customers, use cases, value propositions, success measures, constraints, service expectations, and lifecycle plans.
• Lead continuous discovery to identify customer problems, unmet needs, reusable patterns, and high-value AI opportunities.
• Test product hypotheses through research, prototypes, experiments, evaluations, proofs of concept, and pilots. Use customer evidence, product data, technical findings, and business measures to recommend whether to pursue, change, scale, pause, or stop an opportunity.
• Define the product experience, including AI behavior, data and knowledge needs, integrations, human oversight, controls, monitoring, and support.
• Partner with Engineering, Data, AI Science, Architecture, Cybersecurity, Experience, and Business teams to evaluate options, challenge assumptions, identify dependencies, and make informed tradeoffs.
• Promote reusable, interoperable patterns across models, agents, skills, knowledge assets, workflows, platforms, and governance capabilities.
• Recognize and address AI limitations and risks, including unreliable outputs, bias, data leakage, inappropriate actions, security threats, model drift, and workflow failure.
• Define and monitor measures for customer value, business outcomes, adoption, reuse, quality, reliability, cost, operational performance, scalability, and risk.
• Embed responsible AI, privacy, security, legal, regulatory, accessibility, records, and model-risk requirements throughout the product lifecycle. Define intended uses, limitations, potential misuse or harm, data sensitivity, autonomy, access, human oversight, controls, and escalation paths.
• Communicate product outcomes, health, risks, assumptions, dependencies, tradeoffs, and lessons learned to senior technical and nontechnical leaders and stakeholders; serve as a trusted advisor on complex AI opportunities and decisions.

Skills

Product Management

AI/ML

Strategic thinking

Cross-functional leadership

Communication

Stakeholder management

Education

Bachelor's degree

Tools

Microsoft Copilot Studio

Power Platform

Azure AI

Databricks

Job description

Edward Jones is seeking a Senior AI Product Manager to shape and lead enterprise AI products, owning strategy, discovery, adoption, and governance. You will drive measurable outcomes across multiple domains, partnering with Engineering, Data, Architecture, and Risk to deliver scalable, responsible AI capabilities.

You will influence stakeholders, set roadmaps, and translate complex needs into actionable product plans while ensuring safety, compliance, and value realization across the