Senior Program Manager, AI Programs

Role purpose

The Senior Program Manager will establish the operating model that brings together AI-related work across platforms, engineering, product, business stakeholders, and vendors. The role will create a scalable foundation that can eventually support a broader enterprise AI portfolio.

Core responsibilities

• Establish the program operating model: facilitate agreement on, document, and maintain governance, decision rights, working forums, intake processes, and escalation paths; create a consistent operating rhythm across participating teams; establish a framework that can scale from a single strategic AI platform to a broader portfolio of AI tools and capabilities.
• Create roadmap and prioritization transparency: coordinate execution of agreed priorities, cross-team dependencies, and delivery risks; partner with product, platform, and engineering leaders to support roadmap alignment and prioritization; bring business needs and stakeholder feedback into planning discussions; design roadmap practices that can eventually accommodate multiple AI platforms.
• Strengthen business and leadership relations: build trusted relationships with business stakeholders and represent the AI program clearly; improve visibility into what is available, what is planned, and how stakeholders can engage; prepare clear updates, roadmaps, showcases, and executive communications; serve as a consistent connection point between functional teams, the business, PMO, and senior leadership.
• Establish metrics and reporting: define a focused set of standard metrics covering delivery health, adoption, stakeholder satisfaction, risk, and business value; establish reporting cadences for working teams, the PMO, and senior leadership; create a consistent reporting framework that can expand as additional AI platforms and capabilities are introduced; use metrics and feedback to identify improvement opportunities and recommend adjustments.

Success measures

• A clear and consistently used AI program operating model.
• Visible and aligned roadmaps across product, platform, engineering, and adoption.
• Stronger business stakeholder relationships and satisfaction.
• Consistent reporting into the PMO and senior leadership.
• Improved visibility into risks, dependencies, priorities, and decisions.
• A scalable framework for incorporating additional AI platforms over time.
• Clearer evidence of adoption and business value across the AI portfolio.

Soft skills

• Builds trust across technical, business, and leadership teams.
• Communicates clearly and simplifies complex topics.
• Facilitates alignment and influences without direct authority.
• Creates structure in ambiguous environments.
• Demonstrates strong judgment, collaboration, and follow-through.
• Adapts quickly in a changing AI landscape.

Minimum experience

• 8+ years in program management, technical project management, product management, or a related field.
• Experience leading complex, cross-functional technology initiatives.
• Experience with AI, enterprise technology, digital transformation, or emerging technologies preferred.