Director - AI Knowledge Stewardship

This job posting is anticipated to remain open for 30 days, from 05-Oct-2026. The posting may close early due to the volume of applicants.

Edward Jones is investing in AI to create more scalable, connected, and personalized experiences for clients, branch teams, and colleagues. Trusted, well-structured, current, and governed knowledge is essential to delivering reliable AI answers and actions.

The Director of AI Knowledge Stewardship will build the enterprise capability that turns distributed information into trusted, reusable Knowledge Products for people, search, copilots, and AI agents.

This leader owns the strategy, operating model, standards, and stewardship practices that keep knowledge accurate, discoverable, usable, and responsibly managed throughout its lifecycle.

The Director is accountable for knowledge health, certification, lifecycle compliance, source authority, metadata quality, retrieval readiness, and continuous improvement. Business owners retain accountability for content accuracy and authority; partner teams retain responsibility for their standards and capabilities.

What You Will Do

• Set the AI Knowledge Stewardship strategy, operating model, roadmap, standards, decision rights, controls, and escalation paths.
• Build and develop a network of Knowledge Stewards through onboarding, certification, communities of practice, and capability building.
• Clarify roles, ownership, source authority, approved use, accountability, and handoffs with business owners, Knowledge Product Managers, governance, and technology partners.
• Maintain canonical sources and resolve duplicate, outdated, incomplete, conflicting, unsupported, difficult-to-retrieve, or ownerless knowledge.
• Promote reuse of governed knowledge across channels, workflows, products, search, copilots, and agents.
• Establish knowledge-health measures, thresholds, controls, scorecards, and reporting for quality, freshness, completeness, compliance, retrieval, and use.
• Oversee Knowledge Product certification and recertification, including remediation, replacement, revalidation, and retirement.
• Govern how knowledge is structured, published, reviewed, updated, superseded, archived, retained, and retired.
• Set freshness, effective-date, review, retention, revalidation, and retirement requirements that sustain quality after release.
• Apply metadata, taxonomy, lineage, classification, ownership, access, business meaning, and semantic standards.
• Structure reusable, self-contained, machine-usable knowledge for reliable use by people, models, copilots, agents, and other AI experiences.
• Partner across semantic, search, AI, product, platform, architecture, engineering, risk, records, and governance teams to improve retrieval, access, trust, and responsible use.
• Document stewardship decisions, monitor knowledge and AI outcomes, and use evidence to drive continuous improvement.
• Escalate material knowledge risks, control gaps, ownership issues, source conflicts, and lifecycle noncompliance.
• Influence leaders, drive adoption, and communicate value through trusted answers, user experience, productivity, reuse, risk reduction, and AI performance.

Current Internal home-based associates please note:

Even as a campus-based posted role you are eligible to apply and, if selected, you may retain your home-based status. However future business or regulatory needs may require on-site work and some roles may carry a preference for campus-based presence.

What You'll Need

• Bachelor’s degree in data management, information systems, analytics, computer science, business, or a related discipline.
• 7-10+ years of relevant experience in knowledge management, information management, data or knowledge stewardship, governance, metadata management, information architecture, content strategy, data quality, master data, or lifecycle management.
• Experience leading enterprise-scale capabilities, operating models, governance practices, transformation efforts, or communities of practice.
• Deep understanding of knowledge lifecycle management, metadata, taxonomy, information architecture, quality management, classification, source authority, and content governance.
• Strong understanding of AI-enabled knowledge ecosystems, including enterprise search, Knowledge Products, retrieval-augmented generation, copilots, agents, and AI-ready content.
• Experience establishing measures, controls, and reporting that translate standards into sustainable operating practices.
• Demonstrated ability to work across business, product, data, engineering, analytics, architecture, governance, risk, and technology organizations.
• Proven ability to influence without relying solely on direct authority, resolve ambiguity, and create alignment across competing priorities or sources of truth.
• Strong strategic thinking, systemic thinking, executive communication, decision-making, organizational change, and people-leadership skills.
• Commitment to completing and maintaining required firm training in information security, privacy, responsible AI, and applicable governance standards.

What Will Set You Apart

• Master’s Degree in Artificial Intelligence, Product Management, Knowledge Management, Information Science, or a related field.
• 5+ years’ experience in AI product management, enterprise knowledge management, search, content strategy, or data product management, with a focus on responsible AI practices and regulatory compliance in a financial services context.
• Financial services industry practices and regulations.
• Emerging trends in Knowledge as a Product, enterprise search, retrieval-augmented generation, agent-ready content, and AI-powered knowledge workflows.
• Data and knowledge governance, metadata strategy, taxonomy, content lifecycle management, and integrity management.
• Risk management and compliance in AI-enabled knowledge products, authoritative source designation, content governance, and reusable knowledge capability development.

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.

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.