Enterprise AI Platform Strategy Director

Edward Jones; New York (NY); On-site; USD 180,000 - 280,000; Full time

Job summary

Edward Jones is seeking a Director of AI Product Manager for AI Platform Strategy to lead the enterprise AI platform vision and cross‑functional coordination. You will own reusable AI platform capabilities powering AI experiences and products across the firm.

You’ll collaborate with Digital Product Management, EJ Labs, Engineering, Data, and Business teams to shape AI direction, identify high‑value opportunities, and ensure scalable, secure AI delivery while complying with governance and

Qualifications

• Bachelor's degree in computer science, engineering, data science, business, strategy, product management or related field.
• Significant experience in AI strategy, platform strategy, technology strategy, AI product management, business transformation, or enterprise innovation.
• 7+ years’ experience in product management includes 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.
• Product operating model methodologies, including AI driven PDLC.
• AI technologies and their applications in business contexts.
• Metrics and frameworks for tracking product AI model and agent success and impact.
• Responsible AI practices and regulatory compliance requirements.
• Strategic vendor management, platform evaluation, technology partnerships, and enterprise AI platform governance.
• Strong communication, negotiation, relationship management skills with the ability to influence both internal stakeholders and external technology partners.
• Demonstrated ability to influence vendor roadmaps and establish strategic partnerships that support enterprise AI objectives and long‑term AI platform evolution.

Responsibilities

• 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, experience, risk, security, and governance stakeholders.
• Shapes strategic narratives and decision materials that clarify trade-offs, outcomes, dependencies, risks, and required investments.
• Conducts market, user, and technology research to anticipate emerging platform needs and external developments.
• Defines success measures for platform value, builder experience, reuse, adoption, reliability, interoperability, and risk.
• Drives adoption of platform capabilities among AI builders, AI product managers, and downstream consumers.
• Ensures responsible AI, regulatory, security, privacy, and governance requirements are incorporated into platform strategy and lifecycle decisions.
• Partners with delivery and engineering leaders to translate strategic direction into executable roadmaps and realistic delivery pathways.
• Blends AI capabilities with human capabilities to strengthen builder productivity, organizational readiness, and sustainable adoption.

Skills

Communication skills

Negotiation

Relationship management

Influence stakeholders

AI strategy

Platform strategy

AI product management

Vendor management

Education

Bachelor's degree in CS/Engineering/Data Science/Business/PM

Master’s Degree in AI or PM (advantage)

Job description

Edward Jones is seeking a Director of AI Product Manager for AI Platform Strategy to lead the enterprise AI platform vision and cross‑functional coordination. You will own reusable AI platform capabilities powering AI experiences and products across the firm.

You’ll collaborate with Digital Product Management, EJ Labs, Engineering, Data, and Business teams to shape AI direction, identify high‑value opportunities, and ensure scalable, secure AI delivery while complying with governance and