Director - Digital Product Operation

Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues.

The Technology organization enables and accelerates the company’s growth strategies, delivering global capabilities and services in support of Amex’s customers and colleagues, while maintaining 24/7 servicing and availability to ensure an uninterrupted, high-quality customer experience. Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights.

Enterprise Data Management & Products (EDMP), a key part of our Technology organization, focuses on delivering data products that fuel business growth and unlock value, while also shaping robust data management strategies and governance solutions. Our aim is to propel growth, unlock potential, enhance efficiency, manage risk, and foster talent. By prioritizing enterprise growth across all sectors, we create solutions that enhance satisfaction and value, streamline operations for scalability, and maintain trust and security.

Role Description:

At Enterprise Data Products (EDP), we are operationalizing AI at scale—transforming how colleagues across Product, Data, Governance, and Engineering work and deliver outcomes. As Director, AI Innovation, you will lead the newly formed EDMP AI Innovation team, driving the transition from fragmented AI pilots to a structured, role-based adoption model across the organization. 

This role is accountable for implementing a structured AI operating model—defining role-based workflows, building centralized prompt libraries, and establishing measurement frameworks to drive consistent, scalable impact.

You will own the end-to-end lifecycle of AI enablement—from pilot and use case capture through refinement and scale—creating the foundation for Copilot-enabled workflows and future agentic capabilities. 

This leader will serve as the single point of contact for AI engagement across EDMP, aligning with GenAI Central and enabling enterprise-scale adoption with measurable business outcomes.

Lead EDMP AI Innovation Team:

• Stand up and lead a centralized AI Innovation function to drive federated adoption across EDMP 
• Serve as the single point of contact for AI use cases, prompt libraries, and outcome measurement
• Partner with GenAI Central to drive tooling strategy and implementation

Drive Structured AI Adoption:

• Define role-based AI workflows across Product, Data, Governance, and Engineering 
• Replace fragmented experimentation with standardized, repeatable patterns
• Align AI adoption to enterprise priorities and role-based outcomes

Build Prompt Library & Learning System:

• Establish and scale a centralized repository of prompts and use cases 
• Drive knowledge sharing, best practices, and reusable patterns across teams
• Enable continuous learning through structured iteration cycles

Measure Impact & Outcomes:

• Define frameworks linking AI usage to productivity, quality, and efficiency gains 
• Track effectiveness and scale high-impact use cases
• Identify opportunities for automation and agentic evolution

Scale AI Capability Across EDMP:

• Transition AI adoption from pilot → structured → scale maturity 
• Expand access to AI tools based on role-specific needs
• Scale learnings from engineering and product AI pilots (e.g., Copilot, Devin) 

Drive Governance & Executive Alignment:

• Provide leadership visibility into AI adoption, outcomes, and investments
• Ensure alignment with risk, governance, and enterprise standards

Build & Lead High-Impact Team:

• Build a team spanning AI product, prompt engineering, and enablement
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