Director of AI Product Management

Edward Jones; St. Louis (MO); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Medical and prescription drug benefits

Dental and vision coverage

401k retirement plan

Job summary

Edward Jones seeks a Director, AI Product Manager to own strategy, roadmaps, and outcomes for enterprise AI products serving multiple domains and experiences. You will translate vision into scalable, reusable AI capabilities, drive discovery and prioritization, and ensure measurable customer and business value while maintaining responsible AI practices.

The role collaborates with engineering, data, architecture, risk, and business teams to deliver value at enterprise scale, with focus on

Qualifications

• 7+ years’ experience in product management including translating business needs into technical requirements and leading product discovery and validation.
• 3+ years' experience in AI/ML.
• Strong understanding of AI technologies and financial services.

Responsibilities

• Translate AI strategy into product roadmaps and measurable outcomes.
• Own product strategy for assigned AI domains and prioritize work.
• Lead discovery activities, experiments, and pilots to validate concepts.
• Guide prioritization using customer evidence, data, and technical findings.
• Manage full product lifecycle from discovery to retirement with accountable value realization.
• Define end-to-end product experiences including data, AI behavior, and governance.

Skills

Product management

AI/ML

Requirements gathering

Stakeholder collaboration

Education

Bachelor's degree in computer science, engineering, product management or related field

Master’s Degree in Artificial Intelligence, Product Management, or related field

Job description

Edward Jones seeks a Director, AI Product Manager to own strategy, roadmaps, and outcomes for enterprise AI products serving multiple domains and experiences. You will translate vision into scalable, reusable AI capabilities, drive discovery and prioritization, and ensure measurable customer and business value while maintaining responsible AI practices.

The role collaborates with engineering, data, architecture, risk, and business teams to deliver value at enterprise scale, with focus on