Program Manager

The Program Manager will play a key role within the Enterprise AI organization, providing hands-on delivery leadership for complex AI, technology, data, platform, and business initiatives. Working alongside Enterprise AI leadership, the IT PMO, Product Management, Engineering, Data, and business stakeholders, this role is responsible for translating strategic priorities into structured execution plans and driving initiatives through successful delivery.

The ideal candidate is a strong Senior Program Manager with experience leading complex initiatives within large, matrixed organizations. This is a highly execution-oriented role requiring someone who can quickly bring structure to ambiguity, develop and manage integrated plans, coordinate cross-functional teams, resolve issues, manage dependencies, and maintain momentum through delivery. While the Program Manager will support Enterprise AI initiatives, deep AI expertise is not required.

The most important qualifications are strong technology program management fundamentals, hands-on delivery leadership, structured execution, and the ability to effectively navigate complex organizations.

• Lead the planning and execution of complex, cross-functional Enterprise AI initiatives, products, capabilities, and business use cases.
• Translate strategic objectives into detailed, actionable delivery plans, milestones, timelines, and work streams.
• Build and maintain integrated program plans, including dependencies, risks, issues, assumptions, decisions, and action items.
• Coordinate execution across Product, Engineering, Data, Technology, Operations, and business stakeholders.
• Establish delivery cadences, working sessions, status reporting, and governance routines that keep teams aligned and accountable.
• Drive resolution of cross-functional issues, blockers, and dependencies to maintain delivery momentum.
• Proactively identify delivery risks and develop mitigation strategies and actionable recommendations.
• Facilitate working sessions and decision-making across technical and business teams.
• Track milestones, deliverables, and commitments across multiple work streams and stakeholder groups.
• Ensure requirements, dependencies, assumptions, implementation considerations, and decisions are clearly documented and understood.
• Drive accountability and follow-through across teams in a matrixed environment.
• Provide clear, concise visibility into program status, risks, issues, dependencies, and upcoming milestones.
• Support testing, implementation, operational readiness, launch, and post-launch transition activities.
• Partner closely with the Program Delivery Lead and IT PMO to ensure effective execution of assigned Enterprise AI priorities.
• Adapt delivery approaches as priorities evolve while maintaining structure, accountability, and focus on outcomes.

• Bachelor's degree or equivalent experience.
• 7+ years of program, project, or technology delivery management experience, ideally at a Senior Program Manager level.
• Proven experience leading complex, cross-functional initiatives within large, matrixed organizations.
• Demonstrated experience leading technology, digital, data, analytics, platform, software, or business transformation initiatives.
• Strong hands-on experience developing and managing integrated program plans, schedules, milestones, dependencies, risks, issues, and action items.
• Proven ability to drive structured execution across multiple teams and work streams.
• Strong issue-resolution and problem-solving skills, with the ability to identify blockers and drive them to resolution.
• Experience coordinating across business, product, engineering, data, and operational stakeholders.
• Strong facilitation, communication, organization, and stakeholder management skills.
• Ability to manage competing priorities and navigate complex organizational environments.
• Demonstrated ability to influence outcomes and drive accountability without direct authority.
• Experience working effectively in environments with evolving priorities and ambiguity.
• PMP, PMI-ACP, SAFe, or equivalent certification preferred.

• Experience supporting Enterprise AI, artificial intelligence, analytics, data, automation, digital transformation, or emerging technology initiatives.
• Familiarity with product-centric and Agile delivery models.
• Understanding of software development life cycles, implementation planning, testing, release…