Moog is looking for an AI Adoption Lead to develop strategic roadmaps and drive AI adoption across our global landscape. In this highly collaborative role, you will partner with leaders to translate AI transformation visions into actionable execution plans that enhance job functions, operational efficiency, and innovation.

What You'll Do

Develop comprehensive AI adoption and transformation strategies.
Drive roadmap execution, collaborating globally with cross-functional teams.
Foster a culture of AI Value Creation.
Analyze existing workflows to identify high-impact opportunities for AI integration and workflow transformation.
Create AI awareness, buy-in, and adoption readiness across the organization.
Support change management efforts, training, and adoption programs related to AI solutions.
Regularly engage with executive stakeholders to promote cross-functional collaboration and buy-in for AI Value Creation initiatives.
Coordinate with Data, IT, Manufacturing, and Innovation groups to ensure aligned execution and secure deployment of AI technologies.
Identify leading indicators to measure AI adoption success and business value realization.
Establish multidisciplinary governance, and serve as a trusted advisor on AI risks, ethics, and best practices within digital projects.
Champion experimentation and iterative improvement cycles.
Stay abreast of industry trends and emerging AI technologies.

What We're Looking For

Bachelor’s degree in Engineering, Computer Science, Data Science, Change Management, or a related field.
Over seven (7) years of relevant experience in digital transformation.
At least three (3) years of AI strategy, AI adoption and change management experience, preferably in manufacturing or engineering sectors.
Strong knowledge of AI/ML fundamentals, applications in industrial settings, and emerging AI technologies.
Executive stakeholder management.
Deep experience with change management and technology adoption frameworks.
Strong familiarity with data governance, security, and ethical considerations surrounding AI deployment.
Experience building trust around AI systems.
Strong relationship building skills.
Agile mindset with experience supporting experimentation and innovation.
Travel may be required (10%-15%).
This position requires access to U.S. export-controlled information.

Nice to Have

Advanced degree.
Familiarity with aerospace/defense manufacturing environments and their data challenges/opportunities.
Exposure to cloud/on-prem hybrid architectures and secure AI infrastructure.
Experience with data governance and privacy frameworks applicable to sensitive enterprise data.
Passion for continuous learning and contributing to open collaborative AI communities.

Team & Environment

You will report to the Director, Digital Execution and collaborate globally with cross-functional teams across Data, IT, Manufacturing, and Innovation groups.

Benefits & Compensation

Compensation: $140,000.00–$180,000.00 Annually (Buffalo, NY)
Financial Rewards: great compensation package, annual profit sharing, matching 401k and the ability to participate in Employee Stock Purchase Plan, Flexible Spending and Health Savings Accounts.
Work/Life Balance: Flexible paid time off, holidays and parental leave program.
Health & Welfare: Comprehensive insurance coverage including medical, dental, vision, life, disability, Employee Assistance Plan (“EAP”) and other supplemental benefit coverages.
Professional Skills Development: Tuition Assistance, mentorship and coaching opportunities, leadership development and other personal growth programs.
Collaborative and Welcoming Workplace: Inclusive culture rooted in our values, enhanced by Employee Resource Groups, and team-building activities.
Additional site-specific benefits may be offered.

Work Mode

This is a hybrid position based in Buffalo, NY.

Moog is an Equal Opportunity Employer, and as such affirms the right of every person to participate in all aspects of employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, or any other protected characteristic.