Engineering Manager

Location:

• Position Role Type:
• At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.
• Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defense industry. With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market. Join us and help shape the future of aerospace and defense.
• Engineering Manager – AI Enablement & Automation | M4
• Job Summary Lead a team of AI/ML and software engineering professionals developing AI-enabled solutions that improve engineering productivity and business outcomes. Own execution of the AI roadmap, translating business needs into scalable solutions from ideation → MVP → deployment → adoption. Balance people leadership, technical depth, execution, and innovation.
• Key Responsibilities
• AI Strategy & Execution: Translate AI strategy into priorities, plans, milestones, and measurable outcomes; identify and prioritize high-value AI opportunities.
• Technical & Delivery Leadership: Lead AI/ML, GenAI, automation, and software initiatives; guide technical decisions and resolve complex cross-team challenges.
• People & Capability: Develop experienced engineers, build AI/GenAI and software capabilities, support hiring and performance management, and develop future technical leaders.
• Collaboration & Influence: Partner with global engineering teams, architects, product owners, discipline leaders, and business stakeholders to drive adoption and reuse.
• Innovation: Focus innovation on the right business and engineering problems; enable experimentation and scale successful solutions across the organization.
• Operational Excellence: Establish engineering practices and metrics that improve adoption, productivity, quality, efficiency, and delivery.
• Required Qualifications
• Bachelor's degree in Engineering, Computer Science, Data Science, or related STEM field with 12+ years of relevant engineering experience, including team leadership.
• Strong understanding of AI/ML, GenAI, software engineering, or related technologies.