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Director - AI Platform Strategy

  • Source: LinkedIn
  • Edward Jones
  • $172,800 to $294,100 /yr
  • On-site
  • New York City
  • Full-Time
  • Senior

Job Description

This job posting is anticipated to remain open for 30 days, from 03-Sep-2026. The posting may close early due to the volume of applicants.

Join a financial services firm where your contributions are valued. Edward Jones is a Fortune 500¹ company where people come first. With over 9 million clients and 20,000 financial advisors across the U.S. and Canada, we’re proud to be privately-owned, placing the focus on our clients rather than shareholder returns.

Behind everything we do is our purpose: We partner for positive impact to improve the lives of our clients and colleagues, and together, better our communities and society. We are an innovative, flexible, and inclusive organization that attracts, develops, and inspires performance excellence and a sense of belonging.

People are at the center of our partnership. Edward Jones associates are seen, heard, respected, and supported. This is what we believe makes us the best place to start or build your career.

View our Purpose, Inclusion and Citizenship Report.

¹Fortune 500, published June 2024, data as of December 2023. Compensation provided for using, not obtaining, the rating.

Opportunity Overview The Director, AI Product Manager – AI Platform Strategy is responsible for driving the AI platform vision, strategy, and cross-functional coordination across the AI Platform team acting as the lead for AI vendor engagement. This role establishes and optimizes the platforms, environments, and enabling infrastructure required to develop, deploy, monitor, and scale artificial intelligence solutions. Focuses on creating secure, reliable, interoperable, and reusable foundations for enterprise AI delivery and operations.

Unlike ‑Product Managers within the Digital Product Management organization, this role treats AI itself as the product —owning firmwide, reusable, and scalable AI platform capabilities that power AI builder experiences and AI products rather than discrete applications.

This role centers on strategy, discovery, and value framing, working closely with each Business and Functional area to shape AI direction, identify high‑value opportunities, and expand the art of the possible for how AI can transform their domain. Digital Product Managers will often serve as customers of the AI Product Manager, and leverage AI Products as part of their offerings. Digital Product Managers will remain accountable for the execution, delivery, and lifecycle management of AI capabilities within products and portfolios. The Director, AI Product Manager – AI Platform Strategy partners closely with Digital’s Product Management teams to ensure enterprise AI capabilities can be easily integrated, adopted, and leveraged across the firm.

This role ensures the adoption of responsible AI practices and compliance with regulatory expectations, while clearly communicating progress, risks, and outcomes to stakeholders. Working in collaboration with colleagues in EJ Labs, Engineering, Data, Product Management, Experience, and the respective Business and Functional areas , the Director, AI Product Manager – AI Platform Strategy ensures that vendor AI platform capabilities deliver measurable value, maintain performance through ongoing monitoring, and support firmwide strategic objectives through shared AI capability development. The role acts as a connector throughout the full product lifecycle—navigating ideation, discovery, delivery, adoption, and iteration.

This position sits within the AI Platform Team inside EJ Labs , focused on building and managing the reusable AI platform and marketplace capabilities that enable teams across the enterprise to discover, govern, scale, and consume AI products through a consistent, standards-based ecosystem, rather than developing one-off or front-end solutions.

What You’ll Do

  • Defines the strategic vision, priorities, and roadmap for enterprise AI platform capabilities
  • Identifies and prioritizes high-value platform opportunities based on business value, technical feasibility, reusability, adoption potential, risk, and enterprise alignment.
  • Guides investment, sequencing, build-buy-partner, and vendor decisions for AI platform capabilities.
  • Connects AI platform strategy to business strategy, data strategy, agentic priorities, product strategy, architecture, and innovation goals.
  • Builds alignment across business, technology, engineering, data, product management, exper…

Skills

  • d3
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