Senior Program Manager, AI Programs

Thermo Fisher Scientific · Durham

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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. 

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