AI Strategy Leader for Commercial Aircraft

Moog; Buffalo (NY); Sur place; USD 140 000 - 180 000; Plein temps

Avantages offerts par ce poste

Profit sharing

401k match

Employee Stock Purchase Plan

Flexible Spending Accounts

Health Savings Accounts

Résumé du poste

Moog, Inc. is seeking an AI Manager for the Commercial Aircraft Group in Buffalo, NY.

The role drives AI strategy, governance, and multi-year roadmaps across Engineering, Operations, Quality, and Supply Chain to improve productivity, quality, and decision-making. You will lead AI opportunity discovery, build business cases, and manage a portfolio of AI initiatives with executive communication and change-management leadership.

Qualifications

• Bachelor's degree in Business, Engineering, Information Technology, Data Analytics, Computer Science, Operations Management, or a related field
• 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
• Proven ability to influence stakeholders, manage competing priorities, and drive organizational change in complex environments
• Strong business acumen with the ability to translate business challenges into AI-enabled solutions and measurable business 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
• Experience working in manufacturing, aerospace, engineering, supply chain, quality, operations, or other industrial environments is preferred
• Ability to operate effectively within enterprise governance frameworks while balancing local business priorities and objectives
• Experience with Microsoft Copilot, Azure AI, Power Platform, Azure OpenAI, or other enterprise AI platforms is preferred
• 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
• Experience driving organizational change management, business process transformation, and technology adoption programs
• Professional certifications in Program Management, Product Management, Agile, Change Management, Lean, Six Sigma, or related disciplines are a plus

Responsabilités

• 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 where AI can improve productivity, quality, decision-making, customer experience, and operational performance
• Translate enterprise AI standards and governance requirements into actionable plans that support Commercial Aircraft Group business objectives
• Ensure alignment between operating group priorities and enterprise AI initiatives
• Lead AI opportunity discovery efforts across Engineering, Operations, Quality, Supply Chain, Finance, HR, and other business 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 balanced pipeline of AI opportunities that supports both near-term value delivery and long-term business transformation
• Own the Commercial Aircraft Group AI portfolio and establish prioritization criteria based on business value, strategic alignment, risk, and resource availability
• Manage the intake, evaluation, sequencing, and oversight of AI initiatives across the business
• Monitor project status, risks, resource constraints, dependencies, and delivery performance
• Partner with enterprise AI teams to coordinate development priorities, platform utilization, and technical support requirements
• 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 utilizing Microsoft Copilot technologies, Azure AI services, machine learning models, and intelligent automation platforms
• Promote reusable AI solutions, development standards, and implementation best practices across the organization
• Drive organizational adoption of AI technologies through structured change management, communications, and stakeholder engagement activities
• Build strong partnerships with business leaders to champion AI-enabled ways of working
• Establish and support a network of AI champions across business functions
• Measure user adoption, engagement, and satisfaction to continuously improve outcomes and drive sustained value realization
• Lead business process transformation initiatives enabled by AI and intelligent automation technologies
• Identify opportunities to streamline workflows, eliminate manual processes, and improve operational effectiveness
• Develop and deliver AI education, awareness, and training programs that increase AI literacy and organizational capability
• Enable business teams to effectively leverage AI tools through guidance, coaching, best practices, and ongoing support
• Define key performance indicators and success measures for AI initiatives
• Measure and communicate realized benefits, including 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 for AI capabilities
• 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 appropriate governance controls
• Oversee production support, performance monitoring, issue resolution, and continuous improvement activities for deployed AI solutions
• Serve as the primary AI leader and trusted advisor for the Commercial Aircraft Group
• Foster collaboration across business functions, IT teams, enterprise AI organizations, and external partners
• Advocate for innovation, continuous improvement, data-driven decision-making, and responsible AI adoption
• Communicate complex AI concepts effectively to both technical and non-technical audiences
• Build organizational capability and cultivate a culture that embraces AI-enabled transformation

Connaissances

Leadership

Strategic planning

Stakeholder management

AI governance

Change management

Communication

Executive presentation

ROI analysis

Cross-functional collaboration

Industrial experience

Formation

Bachelor's degree in Business, Engineering, IT, Data Analytics, CS, Ops Mgmt

Outils

Microsoft Copilot

Azure AI

Power Platform

Azure OpenAI

Description du poste

Moog, Inc. is seeking an AI Manager for the Commercial Aircraft Group in Buffalo, NY.

The role drives AI strategy, governance, and multi-year roadmaps across Engineering, Operations, Quality, and Supply Chain to improve productivity, quality, and decision-making. You will lead AI opportunity discovery, build business cases, and manage a portfolio of AI initiatives with executive communication and change-management leadership.