Director, AI Product Management- Knowledge Products

Edward Jones

About The Position

The Director, AI Product Management – Knowledge Products drives the end-to-end development and delivery of reusable, AI-ready Knowledge Products—particularly AI models and agents—from ideation through launch and ongoing optimization. The role translates business knowledge needs into technical requirements, leads discovery and validation, and defines success measures for product impact, knowledge quality, reuse, and adoption. Based in the Knowledge Lab within EJ Labs, this position focuses on firm knowledge as a reusable AI product rather than on one-off or front-end solutions. It owns the strategy, quality, governance, and lifecycle of shared knowledge capabilities—including governed knowledge domains, curated corpora, metadata, and content standards—that multiple downstream products and experiences can consume. The role partners with Digital Product Management teams, which integrate these capabilities into user-facing experiences and remain accountable for the execution and lifecycle of AI capabilities within their products and portfolios. The Director works with EJ Labs, Engineering, Data, Product Management, Experience, and business and functional teams to identify valuable knowledge domains, curate and validate products, support adoption, and improve capabilities over time. The role promotes responsible AI and regulatory compliance, monitors quality and performance, and communicates progress, risks, and outcomes to stakeholders. It connects work across ideation, discovery, delivery, adoption, and iteration to support firmwide strategic objectives and measurable business value.

Requirements

Bachelor’s degree in computer science, engineering, product management, knowledge management, information science, or a related field.
7–10+ years of product management experience, including translating business and knowledge needs into technical requirements and leading product discovery and validation.
3+ years of experience in AI, enterprise knowledge management, search, content strategy, data products, or AI-enabled product development.
Strong understanding of AI technologies, enterprise knowledge ecosystems, AI-ready content, and financial services.
Knowledge of product operating model methodologies, including Knowledge Product lifecycle management and AI-driven product development lifecycle (PDLC).
Knowledge of AI technologies and their applications in knowledge discovery, enterprise search, copilots, agents, and business workflows.
Ability to use metrics and frameworks to track Knowledge Product quality, freshness, reuse, adoption, retrieval performance, user feedback, and business impact.
Knowledge of responsible AI practices, content governance, entitlement management, and regulatory compliance requirements.
Understanding of UX principles and their integration into AI-enabled knowledge discovery, workflow guidance, and product capability design.

Nice To Haves

Master’s degree in artificial intelligence, product management, knowledge management, information science, or a related field.
5+ years of experience in AI product management, enterprise knowledge management, search, content strategy, or data product management, focused on responsible AI practices and regulatory compliance in financial services.
Knowledge of financial services industry practices and regulations.
Knowledge of emerging trends in Knowledge as a Product, enterprise search, retrieval-augmented generation, agent-ready content, and AI-powered knowledge workflows.
Experience or knowledge in data and knowledge governance, metadata strategy, taxonomy, content lifecycle management, and integrity management.
Knowledge of risk management and compliance for AI-enabled Knowledge Products, authoritative source designation, content governance, and reusable knowledge capability development.
Knowledge of analytics and reporting techniques for tracking Knowledge Product health, adoption, retrieval performance, and business impact.

Responsibilities

Translate business needs and goals into actionable technical requirements for reusable, AI-ready Knowledge Products and governed knowledge capabilities.
Lead product discovery, validation, research, and iterative improvement, considering how Knowledge Products will be consumed across search, copilots, agents, applications, tools, and internal teams.
Define and track measures of knowledge quality, freshness, reuse, adoption, retrieval performance, user feedback, and business impact.
Identify high-value knowledge domains, content gaps, authoritative sources, customer demand, and opportunities for reusable Knowledge Products through internal customer, user, and market research.
Ensure responsible AI practices and regulatory compliance throughout the product lifecycle.
Drive development and delivery of governed, trusted, measurable Knowledge Products designed for use across multiple AI and digital experiences rather than as one-off builds.
Collaborate with EJ Labs, Engineering, Data, Product Management, Experience, and business and functional teams to curate, test, deploy, refine, and align Knowledge Products with enterprise AI standards.
Communicate product progress, updates, risks, outcomes, and impact to stakeholders across the organization.
Shape Knowledge Product vision and strategy with business and technology stakeholders to drive measurable business impact and outcome-oriented delivery.
Translate business goals, user insights, knowledge-domain needs, content trends, and AI-readiness requirements into roadmaps, themes, initiatives, epics, and user stories; support prioritization and hypothesis generation with partners.
Support delivery, adoption, and business impact through influence and collaboration while navigating shared accountability.
Coordinate with product leadership, delivery partners, and enabling teams on resources, delivery execution, and risk management across Knowledge Product delivery teams.
Partner with the Product Management organization to align reusable AI-ready knowledge capabilities with downstream product needs.
Curate, test, certify, and refine Knowledge Products to ensure quality, freshness, governance, explainability, and functional integration with consuming systems and applications.
Own the Knowledge Product lifecycle, including versioning, freshness monitoring, certification, usage tracking, performance evaluation, and continuous improvement.
Ensure Knowledge Products can be consumed by low-code agents, mini applications, applets, and other internal firm tooling.

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
Basic life and basic AD&D coverage
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
Potential bonuses
Profit sharing
Employee Assistance Program