Director, AI Platform & Observability

Edward Jones; St. Louis (MO); On-site; USD 180,000 - 280,000; Full time

Job summary

Edward Jones is seeking a Director, AI Product Manager – AI Controls & Observability to drive end-to-end AI platform capabilities across the firm. You will translate business needs into actionable technical requirements and lead discovery, validation, and optimization with cross‑functional teams.

The role focuses on AI as a reusable platform, guiding strategy, governance, and adoption across business units, with collaboration from EJ Labs, Engineering, Data, and Experience teams.

Qualifications

• Bachelor’s degree or higher in a relevant field and 7+ years in product management.
• Experience translating business goals into technical requirements and conducting product discovery.

Responsibilities

• Translate business needs into clear technical requirements for AI products and reusable capabilities.
• Lead product discovery, validation, and iterative improvement with cross‑functional teams.
• Define and track product success metrics for AI controls and observability.
• Ensure responsible AI practices and regulatory compliance across lifecycle.
• Own lifecycle of AI platform builder capabilities including versioning and monitoring.
• Collaborate with EJ Labs, Engineering, Data, and Experience teams to test and deploy AI capabilities.
• Communicate progress and outcomes to stakeholders.

Skills

Product management

AI/ML

Regulatory compliance

UX principles

Stakeholder communication

Requirements translation

Market research

Education

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

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

Tools

AI platform PDLC

Job description

Edward Jones is seeking a Director, AI Product Manager – AI Controls & Observability to drive end-to-end AI platform capabilities across the firm. You will translate business needs into actionable technical requirements and lead discovery, validation, and optimization with cross‑functional teams.

The role focuses on AI as a reusable platform, guiding strategy, governance, and adoption across business units, with collaboration from EJ Labs, Engineering, Data, and Experience teams.