Ai Enablement Program Manager

• Partner with the Global CIO, Chief AI Officer, and Head of Enterprise Architecture and Data to drive the enterprise AI program, maintaining the integrated program roadmap and ensuring coordinated execution across all AI program workstreams
• Define and maintain the AI program backlog in collaboration with program partners, prioritizing capabilities based on strategic alignment, business impact, and ROI
• Facilitate cross-functional collaboration to identify high-impact AI use cases, assess feasibility, and sequence delivery for maximum enterprise-wide value
• Champion AI adoption through organizational change management, workshops, and knowledge-sharing sessions that build AI literacy and foster a culture of innovation across Teradyne’s divisions
• Track and communicate program progress, milestones, and outcomes
• stay current on emerging AI technologies and industry trends, translating insights into actionable program strategies
• Define and drive the Enterprise Data Platform vision, strategy, and roadmap—spanning data integration, master data management, and analytics/AI—translating stakeholder needs and business requirements into actionable delivery plans for the data engineering team
• Institute AI capabilities throughout the data management lifecycle—spanning ingestion, transformation, quality, observability, and delivery—in partnership with Semiconductor Test, Robotics, Operations, and Enterprise Architecture
• Drive stakeholder management and prioritization across Teradyne’s divisions, communicating platform strategy and progress to both technical and non-technical audiences
• Establish success metrics, KPIs, and adoption tracking for the Enterprise Data Platform
• use data-driven insights to refine the product roadmap and continuously improve outcomes
• Govern platform cost, performance, and utilization in partnership with the team and FinOps, ensuring efficient and accountable consumption of cloud data resources
• Lead, develop, and be accountable for a team of approximately 25 data professionals and associated contractors spanning data engineering, master data management, and analytics engineering
• Set clear team direction, define measurable goals, and manage performance across the Enterprise Data team in alignment with Teradyne’s Enterprise Data Strategy and AI program objectives
• Build and sustain a high-performing team culture grounded in engineering excellence, continuous learning, and a shared commitment to delivering AI-ready data at enterprise scale
• Own hiring decisions, onboarding, and talent development
• manage contractor relationships and ensure appropriate resourcing to meet data delivery commitments
• Partner with the Head of Enterprise Architecture and Data on organizational design, capacity planning, and team structure
• represent the team to senior leadership with regular visibility into team health, delivery status, and resource needs

• Proven people leadership capability with experience managing sizable teams of data professionals
• Demonstrated ability to operate effectively alongside senior executive stakeholders
• Strong program and product management mindset
• Deep understanding of cloud data platforms and AI/ML concepts, with hands-on familiarity with Azure data services (Azure Data Factory, Fabric, or equivalent), Snowflake, Informatica, Semarchy (or MDM equivalent) and BI/analytics tooling
• Proficiency with AI tools and platforms including Azure AI Foundry, Microsoft Copilot, Anthropic Claude, or Google Gemini
• Excellent written and verbal communication skills
• Demonstrated ability to translate complex business and technical requirements into clear product strategies, backlog items, and delivery plans using Agile/Scrum methodologies
• Strong analytical and data-driven judgment
• Ability to build trust and influence across cross-functional teams
• Familiarity with enterprise data architecture concepts such as data lakes, data warehouses, data pipelines, and MDM
• Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field (Master’s degree preferred)
• 7+ years of experience in data, IT program management, or a related field, with at least 3 years in a people management role leading data or technology teams
• Demonstrated experience managing both a team of direct reports and matrixed accountability to deliver enterprise solutions at scale
• Proven track record of partnering with senior executive stakeholders to deliver complex, multi-disciplinary programs using Agile, Scrum, or hybrid methodologies

Professional certifications such as PMP, Certified Scrum Product Owner (CSPO), SAFe Product Manager/Owner, or Azure Data certifications preferred

• Medical
• Dental
• Vision
• Flexible Spending Accounts
• Retirement savings plans
• Life and disability insurance
• Paid vacation & holidays
• Tuition assistance programs