AI Manager, Commercial Aircraft Group

Moog•Buffalo, NY

8d•Onsite

About The Position

Moog’s Commercial Aircraft Group is seeking an AI Manager to lead the strategy, adoption, governance, and business enablement of artificial intelligence, advanced analytics, and intelligent automation across business and manufacturing operations. The AI Manager serves as the group’s primary AI leader and business partner, identifying, prioritizing, developing, and delivering solutions that improve productivity, decision-making, processes, and digital transformation outcomes. The role partners with leaders across engineering, operations, quality, supply chain, finance, HR, IT, and other functions, while coordinating with enterprise AI teams and corporate partners. The position owns the group’s AI strategy, multi-year roadmap, and portfolio of initiatives, from opportunity discovery and business-case development through implementation, adoption, measurement, governance, and ongoing support. It leads development and deployment of AI-powered applications, copilots, intelligent agents, analytics, and automation; encourages reusable solutions and best practices; and supports pilots and production implementations using enterprise AI technologies. The manager also drives change management, education, and AI literacy, measures realized business benefits, oversees risk assessment and governance, and acts as Operating Group Product Owner for deployed AI solutions. This is an onsite role in Buffalo, New York. The role requires access to U.S. export-controlled information. The stated annual base salary range is $140,000–$180,000, with actual salary dependent on factors including location, experience, and performance.

Requirements

Bachelor’s degree in Business, Engineering, Information Technology, Data Analytics, Computer Science, Operations Management, or a related field.
At least 8 years of experience leading business transformation, technology programs, digital initiatives, operational excellence, product management, innovation programs, or related leadership activities.
Experience developing and executing business strategies, roadmaps, and portfolios across multiple business functions.
Ability to influence stakeholders, manage competing priorities, and drive organizational change in complex environments.
Strong business acumen and ability to translate business challenges into AI-enabled solutions and measurable outcomes.
Experience developing business cases, prioritizing investments, measuring ROI, and driving technology adoption.
Strong communication, facilitation, stakeholder-management, and executive-presentation skills.
Understanding of artificial intelligence, generative AI, machine learning, advanced analytics, intelligent automation, and digital technologies.
Ability to operate within enterprise governance frameworks while balancing local business priorities and objectives.
Experience leading AI, analytics, automation, product-management, or digital-transformation initiatives.
Knowledge of AI governance, Responsible AI, cybersecurity, compliance, and data-privacy requirements.
Familiarity with ERP, MES, PLM, quality, engineering, and manufacturing systems.

Nice To Haves

Experience in manufacturing, aerospace, engineering, supply chain, quality, operations, or another industrial environment.
Experience with Microsoft Copilot, Azure AI, Power Platform, Azure OpenAI, or other enterprise AI platforms.
Professional certifications in Program Management, Product Management, Agile, Change Management, Lean, Six Sigma, or related disciplines.

Responsibilities

Develop and maintain the Commercial Aircraft Group AI strategy and multi-year roadmap, aligned with business objectives, operational priorities, and enterprise AI direction.
Partner with business and functional leaders to identify strategic opportunities for AI to improve productivity, quality, decision-making, customer experience, and operational performance.
Translate enterprise AI standards and governance requirements into plans that support the group’s business objectives.
Lead AI opportunity discovery across engineering, operations, quality, supply chain, finance, HR, and other functions.
Facilitate workshops and stakeholder engagements to identify, evaluate, and prioritize AI use cases.
Develop business cases that quantify value, feasibility, investment requirements, risks, and expected benefits.
Maintain a pipeline of AI opportunities supporting near-term value and long-term transformation.
Own the group’s AI portfolio and set prioritization criteria based on business value, strategic alignment, risk, and resource availability.
Manage intake, evaluation, sequencing, and oversight of AI initiatives; monitor status, risks, resource constraints, dependencies, and delivery performance.
Partner with enterprise AI teams to coordinate development priorities, platform usage, and technical support.
Lead the design, development, deployment, and continuous improvement of AI-powered applications, copilots, intelligent agents, advanced analytics, and automation solutions.
Collaborate with developers, architects, data engineers, and business subject matter experts to create scalable AI-enabled capabilities.
Support proof-of-concept, pilot, and production implementations using Microsoft Copilot technologies, Azure AI services, machine-learning models, and intelligent automation platforms.
Promote reusable AI solutions, development standards, and implementation best practices.
Drive organizational adoption through structured change management, communications, and stakeholder engagement.
Build partnerships with business leaders, champion AI-enabled ways of working, and establish a network of AI champions across business functions.
Measure user adoption, engagement, and satisfaction to improve outcomes and sustain value realization.
Lead AI-enabled business-process transformation; identify opportunities to streamline workflows, eliminate manual processes, and improve operational effectiveness.
Develop and deliver AI education, awareness, and training programs, and provide guidance, coaching, best practices, and ongoing support to business teams.
Define key performance indicators and success measures; measure and communicate benefits such as productivity improvements, cycle-time reductions, quality enhancements, cost savings, and risk mitigation.
Monitor AI investments to ensure expected business outcomes are achieved and sustained.
Conduct business, operational, cybersecurity, compliance, and organizational risk assessments for AI initiatives.
Serve as the Operating Group Product Owner for AI solutions deployed within the Commercial Aircraft Group; define product vision, requirements, lifecycle-management processes, and enhancement roadmaps.
Ensure AI solutions comply with enterprise architecture standards, cybersecurity requirements, data governance policies, and Responsible AI principles.
Partner with Corporate AI, Enterprise Architecture, Cybersecurity, Legal, and Compliance teams to maintain governance controls.
Oversee production support, performance monitoring, issue resolution, and continuous improvement for deployed AI solutions.
Serve as the group’s primary AI leader and trusted advisor; foster collaboration across business functions, IT, enterprise AI organizations, and external partners.
Advocate for innovation, continuous improvement, data-driven decision-making, and responsible AI adoption.
Communicate complex AI concepts to technical and non-technical audiences, build organizational capability, and cultivate a culture that embraces AI-enabled transformation.

Benefits

Great compensation package
Annual profit sharing
Matching 401(k)
Employee Stock Purchase Plan
Flexible Spending and Health Savings Accounts
Flexible paid time off
Holidays
Parental leave program
Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability coverage
Employee Assistance Plan (EAP)
Other supplemental benefit coverages
Tuition assistance
Mentorship and coaching opportunities
Leadership development and other personal growth programs
Employee Resource Groups
Site-specific benefits may be available depending on location and business needs