Senior Manager - AI Product Management

Edward Jones

About The Position

The Senior Manager, AI Product Management 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 emerging AI technologies. The role combines strategic product leadership with direct accountability for associate leadership, team performance, and capability development. The Senior Manager treats AI as the product, owning product strategy, discovery, prioritization, adoption, lifecycle management, and measurable outcomes for reusable capabilities serving multiple business areas, products, customer experiences, and enterprise workflows. The role ensures these 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 drives measurable value creation. The role balances hands-on product leadership with leading, coaching, and developing AI Product Managers and establishing clear priorities, accountability, and effective ways of working across the team. The Senior Manager partners 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 are reusable, explainable, reliable, well-governed, and aligned with responsible AI practices. Candidates living within commuting distance of the Tempe, Arizona, or St. Louis, Missouri, home office locations are expected to work in the office four days per week. Colleagues assigned to a Talent Capability or Generations Hub are expected to work at least four in-office days per week, unless engaged in a business offsite. Changes in strategic direction will be determined by the General Partner responsible for the business segment.

Requirements

Bachelor's degree in computer science, engineering, product management, or a related field.
At least 7 years of product management experience, including translating business needs into technical requirements and leading product discovery and validation.
At least 3 years of experience in AI/ML.
Strong understanding of AI technologies and financial services.
Knowledge of product operating model methodologies, including AI-driven PDLC.
Knowledge of AI technologies and their applications in business contexts.
Knowledge of metrics and frameworks for tracking the success and impact of AI models and agents.
Knowledge of responsible AI practices and regulatory compliance requirements.
Knowledge of UX principles and their integration into AI capability design.

Nice To Haves

Master’s degree in Artificial Intelligence, Product Management, or a related field.
At least 3 years of AI product management experience, focused on responsible AI practices and regulatory compliance in a financial services context.
Knowledge of financial services industry practices and regulations.
Knowledge of emerging trends in AI product, model, and agent development and management.
Knowledge of data governance and integrity management.
Knowledge of risk management and compliance in AI product, model, and agent development.

Responsibilities

Lead a team of AI Product Managers responsible for 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 continuous discovery practices across the portfolio, using customer research, prototypes, experiments, evaluations, proofs of concept, and pilots to understand needs and test assumptions.
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 so reusable AI products have clear customers, use cases, boundaries, interfaces, dependencies, supported uses, limitations, ownership, controls, and operating expectations, and work coherently in the enterprise AI ecosystem.
Establish portfolio-level analytics and observability practices and measures for customer value, business outcomes, adoption, reuse, quality, reliability, cost, operational performance, scalability, and risk.
Influence and align product, engineering, data, architecture, cybersecurity, experience, risk, compliance, and business leaders around shared outcomes; resolve competing priorities, barriers, conflicts, and dependencies.
Apply AI product expertise, technical fluency, and judgment to challenge assumptions, evaluate alternatives, make timely decisions, and balance tradeoffs.
Manage AI limitations and risks and embed 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; serve as a trusted advisor across business, technology, product, risk, and operations.
Establish 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 product craft through feedback, performance management, development experiences, career pathways, and differentiated coaching.
Establish and promote reusable Product Management frameworks, standards, evaluation practices, governance, and customer-centered ways of working; strengthen organizational capability through coaching, mentoring, communities of practice, and shared lessons.

Benefits

Medical and prescription drug coverage
Dental insurance
Vision insurance
Voluntary benefits, including accident, hospital indemnity, and critical illness coverage
Short- and long-term disability coverage provided at no cost
Basic life and basic AD&D coverage provided at no cost
401(k) retirement plan
Health savings account
Flexible spending account
Ten paid holidays
15 days of vacation for new associates beginning on January 1 of each year
Sick time
Personal days
Paid day for volunteerism
Associates may be eligible for bonuses and profit sharing
Employee Assistance Program