Lead Product Manager, Enterprise AI & Automation

Internal AI & Automation Strategy

• Collaboratively define Marqeta's Enterprise AI & automation strategy, including responsible AI principles, governance frameworks, and a multi-quarter adoption roadmap.
• Prioritize high-value AI and automation use cases for each business unit.
• Map work flows across the enterprise to identify AI-driven improvements.
• Define functional and technical requirements (FRD/TRD) for all internal AI/automation platforms.
• Partner with Architecture Review Boards and AI Steering Committee to ensure adherence to IT standards and governance frameworks.

Demand Management & Prioritization

• Design and lead the Plan and Commit process with business stakeholders.
• Define criteria for prioritizing automation projects and enhancements.
• Conduct feasibility assessments and cost-benefit analysis.
• Prioritize AI portfolio against business outcomes and executive guidance.
• Maintain a visible backlog of active and pending AI and automation initiatives.

Enterprise IT Application & Platform Delivery

• Oversee QA and UAT processes.
• Coordinate deployment windows to minimize disruption.
• Establish hypercare programs for major system go-lives.
• Develop Business Systems Product Management competencies across BT organization.

Vendor and Platform Management

• Evaluate emerging AI technologies and conduct pilots.
• Select and negotiate vendor contracts.
• Stay current on AI landscape and tool evolution.

Rollout, Adoption & Change Management

• Execute Enterprise AI rollout plan.
• Drive adoption through change management efforts.
• Establish AI organizational capability.

Measurement & Governance

• Design and own the Enterprise AI metrics framework.
• Report progress and outcomes to senior leadership.
• Establish governance guardrails for responsible AI use.