Senior Program Manager, AI Programs

Thermo Fisher ScientificDurham, North Carolina, USAonsiteSalary not postedView the original posting at Thermo Fisher Scientific ↗

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.

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