Senior Program Manager, AI Programs

Thermo Fisher Scientific•Durham, NC

1d•Onsite

About The Position

The Senior Program Manager will establish an 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. The position coordinates agreed priorities, cross-team dependencies, and delivery risks; supports roadmap alignment and prioritization; and brings business needs and stakeholder feedback into planning. It also builds trusted relationships with business stakeholders, improves visibility into available and planned capabilities, and serves as a connection point among functional teams, the business, the PMO, and senior leadership. The Senior Program Manager will define standard metrics for delivery health, adoption, stakeholder satisfaction, risk, and business value; establish reporting cadences; and use metrics and feedback to identify improvements. Success includes a consistently used operating model, aligned roadmaps, stronger stakeholder relationships, reliable reporting, improved visibility into risks and decisions, and a scalable framework for additional AI platforms.

Requirements

At least 8 years of experience in program management, technical project management, product management, or a related field.
Experience leading complex, cross-functional technology initiatives.
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.

Nice To Haves

Experience with AI, enterprise technology, digital transformation, or emerging technologies.

Responsibilities

Facilitate agreement on, document, and maintain program 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.
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 accommodate multiple AI platforms over time.
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 updates, roadmaps, showcases, and executive communications.
Serve as a consistent connection point between functional teams, the business, the PMO, and senior leadership.
Define 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 reporting framework that can expand as additional AI platforms and capabilities are introduced.
Use metrics and feedback to identify improvement opportunities and recommend adjustments.