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AI Enablement Program Manager North Reading

Job in Reading, Middlesex County, Massachusetts, 01814, USA
Listing for: Teradyne
Full Time position
Listed on 2026-06-04
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 140500 - 224800 USD Yearly USD 140500.00 224800.00 YEAR
Job Description & How to Apply Below
Position: AI Enablement Program Manager (Teradyne, North Reading)

Date:
Mar 20, 2026

Location:

North Reading, MA, US

We are the global test and automation specialists, powering next-generation technologies through sophisticated solutions. Behind every electronic device you use, Teradyne's test technology ensures your device works right the first time, every time! Our portfolio of automation solutions help manufacturers to develop and deliver products quickly, efficiently and cost-effectively. Together, Teradyne companies deliver manufacturing automation across industries and applications around the world!

We attract, develop, and retain a high-performance workforce, comprised of people with diverse backgrounds and a shared drive for excellence. We strive to foster a positive and inclusive work environment that helps employees, and communities, thrive.

Our Purpose

TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.

Opportunity

Overview

The AI Enablement Program Manager is a highly experienced professional responsible for designing, implementing, and optimizing foundational AI enablement frameworks, processes, and enterprise-wide strategies. This role focuses on building scalable, integrated AI architectures and governance models that align with organizational goals, foster innovation, and enable evidence-based judgment. Rather than focusing solely on discrete project delivery, the Program Manager will steward the development of cohesive AI strategies, roadmaps, and processes that ensure sustainable adoption and integration of AI technologies across the enterprise.

This position requires a strong understanding of AI/ML concepts, enterprise architecture, and process optimization, as well as the ability to collaborate with cross-functional teams and stakeholders at all levels.

  • Develops and implements foundational AI enablement frameworks that integrate AI capabilities into enterprise systems, workflows, and architectures, ensuring scalability and alignment with long‑term business objectives.
  • Guides the design and delivery of AI adoption roadmaps, focusing on enterprise‑wide strategies, governance, and process optimization rather than isolated project execution.
  • Collaborates with IT and business teams to establish AI integration processes, ensuring alignment with enterprise architecture and operational workflows.
  • Defines and oversees governance frameworks to ensure the ethical, responsible, and compliant use of AI technologies across the organization.
  • Facilitates cross‑functional collaboration to identify high‑impact AI use cases, assess feasibility, and prioritize initiatives based on strategic alignment and ROI.
  • Drives the creation of policies and processes for AI model lifecycle management, including monitoring, maintenance, and continuous improvement.
  • Supports organizational change management efforts, ensuring smooth transitions to AI‑enabled processes and fostering a culture of innovation and adoption.
  • Engages with senior stakeholders to align AI strategies with business objectives, providing regular updates on progress, complexities, and outcomes.
  • Facilitates workshops and knowledge‑sharing sessions to promote awareness and understanding of AI capabilities and best practices across the organization.
  • Defines and tracks key performance indicators (KPIs) to measure the success and impact of AI initiatives, using data‑driven insights to refine strategies and improve future implementations.
  • Stays informed on emerging AI technologies, regulations, and industry standards, partnering with Information Security and Compliance teams to guide risk management efforts.
  • Acts as a champion for AI enablement, advocating for the integration of AI into enterprise processes and promoting its value to stakeholders at all levels.
  • Other…
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