Work Schedule
First Shift (Days)
Environmental Conditions
Office
Job Description
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
Success will be demonstrated by:
- 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.
