Group AI Enablement Manager

Moog • Buffalo, NY

4d • Hybrid

About The Position

Moog’s Industrial Group IT team is seeking a Group AI Enablement Manager to apply artificial intelligence to important business challenges and deliver measurable improvements in growth, lead time, productivity, quality, working capital, operating margin, and decision-making. The manager will connect business leaders, functional experts, IT, the Corporate AI Enablement Center, and external partners to shape the Industrial Group’s AI roadmap, prioritize opportunities, lead solution delivery, and promote responsible adoption.

This role combines business strategy, technology delivery, and organizational change. The successful candidate will establish value expectations, guide AI solutions into sustained production use, and help teams adopt AI-enabled ways of working. The position reports to the Senior Director of IT, Industrial Group. It may be based in the US, UK, or Europe; the schedule is described as hybrid, with Buffalo, NY listed in the posting.

Requirements

• Bachelor’s degree in Engineering, Computer Science, Data Science, Information Systems, or a related field, or a combination of education and equivalent experience.
• At least seven years of progressive experience in technology delivery, data and analytics, digital transformation, or a related field.
• At least three years leading teams or major cross-functional programs.
• Demonstrated leadership implementing AI, machine learning, or advanced analytics solutions from concept through sustained production use.
• Working knowledge of generative AI, AI agents, machine learning engineering, MLOps, cloud platforms, and modern data platforms.
• Proven ability to develop business cases, quantify expected benefits, and prioritize investments with senior business stakeholders.
• Experience leading organizational change and building adoption across functions, sites, or regions.
• Strong communication and stakeholder management skills, including the ability to explain technical topics in clear business terms.

Nice To Haves

• Experience with Databricks.
• Experience in industrial manufacturing, aerospace, or another regulated engineering environment.
• Familiarity with ERP, MES, PLM, CRM, quality, or engineering systems and their embedded AI capabilities.
• Working knowledge of data protection, intellectual property, export controls, responsible AI practices, or emerging AI regulation.

Responsibilities

• Develop and maintain the Industrial Group’s AI roadmap and prioritized portfolio, aligned with business strategy and enterprise AI direction.
• Partner with leaders across operations, engineering, supply chain, quality, sales, and other functions to identify high-value AI opportunities, define expected outcomes, and build business cases.
• Evaluate and prioritize AI initiatives based on business value, technical feasibility, risk, and scalability; recommend whether initiatives should be funded, expanded, redirected, or stopped.
• Track and communicate AI portfolio progress, investment, realized benefits, and risk to Industrial Group and enterprise stakeholders.
• Partner with the Corporate AI Enablement Center on governance, platform standards, shared architectures, risk and security controls, and engagement models.
• Lead group-specific AI initiatives from concept through production, working with technical teams, subject matter experts, and the AI Enablement Center using approved platforms and architecture.
• Ensure AI solutions are resilient and reusable so they can scale across sites and functions.
• Support the rollout and integration of enterprise AI capabilities within the Industrial Group.
• Drive adoption of AI solutions through communications, training, workflow changes, and ongoing engagement with business sponsors and users.
• Design and own the Industrial Group AI operating model, facilitating a hub-and-spoke network of business AI owners and technical practitioners.
• Build, coach, and develop the Group AI team, and help existing roles adopt AI-enabled approaches to solution delivery.
• Assign and align resources to priority outcomes and functional demand while managing capacity across teams and leaders.
• Define workforce implications and enablement plans, including champions, training, and role evolution.
• Represent the Industrial Group in enterprise AI governance forums and communicate its priorities, constraints, and outcomes.

Benefits

• Great compensation package and bonus opportunities.
• Matching 401(k).
• Employee Stock Purchase Plan in select locations.
• Flexible Spending and Health Savings Accounts.
• Flexible paid time off and holidays.
• Parental leave program.
• Relocation assistance.
• Medical, dental, vision, life, and disability insurance.
• Employee Assistance Plan and other supplemental benefit coverage.
• Tuition assistance.
• Mentorship, coaching, leadership development, and personal growth programs.
• Employee Resource Groups.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager