AI Innovation Leader

Moog•Buffalo, NY
•Onsite

About The Position

Moog’s AI Enablement Center of Expertise is seeking an AI Innovation Leader to lead enterprise AI experimentation and rapid innovation addressing complex, high-value business challenges. The role identifies opportunities where emerging AI capabilities can materially change company operations, tests ideas, and turns promising concepts into validated solutions. The AI Innovation Leader owns the AI innovation pipeline from problem identification through experimentation, prototyping, validation, and transition. This includes partnering with business and technology teams to move viable solutions into production and scale. The role is onsite at Moog’s Corporate Headquarters in East Aurora, New York; candidates must live in the Buffalo area or be willing to relocate. Hybrid or remote work is not available.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Data Science, Product Design, Business, Innovation, or a related field.
  • Over seven years of experience in technology innovation, product innovation, R&D, advanced engineering, digital transformation, emerging technology, or related disciplines.
  • Over three years leading innovation pipelines, rapid experiments, prototypes, proofs of concept, innovation labs, or accelerator programs, and working with generative AI, AI agents, machine learning, intelligent automation, or emerging AI technologies.
  • Demonstrated ability to move complex business problems through hypothesis, experimentation, validation, and production-transition decisions.
  • Must live in the Buffalo, New York area to work onsite or be willing to relocate.

Nice To Haves

  • Experience with Microsoft Azure or Azure AI.
  • Experience with design thinking, human-centered design, or lean experimentation.
  • Experience with AI-enabled rapid development.
  • Experience with enterprise product transitions or reusable, scalable innovation.
  • Experience with major ERP transformations such as SAP.

Responsibilities

  • Build and manage a prioritized AI innovation pipeline focused on complex challenges and high-value opportunities.
  • Partner with business leaders and Operating Groups to identify where AI can create differentiated value or transform how work is done.
  • Establish criteria for prioritizing, advancing, pivoting, scaling, or stopping experiments while balancing near-term opportunities with emerging AI capabilities.
  • Lead rapid experimentation and prototyping by translating complex business problems into focused experiments with clear hypotheses, success criteria, and learning objectives.
  • Use AI-enabled development approaches to accelerate prototyping and iteration while maintaining appropriate enterprise guardrails.
  • Evaluate prototypes for business and user value, technical feasibility, scalability, risk, and reusability, and capture lessons from successful and unsuccessful experiments.
  • Identify innovations ready to move beyond experimentation and establish clear ownership, requirements, and transition expectations.
  • Partner with AI Product & Platform, Architecture & Engineering, Cybersecurity, Data, and business teams to transition validated innovations into scalable, sustainable production solutions.

Benefits

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