Sr Mgr, AI/ML Software Engineering

TE Connectivity is a company dedicated to creating a safer, sustainable and more connected world. They are seeking a Senior Manager, AI/ML Software Engineering to lead the strategy and development of AI/ML software capabilities, ensuring alignment with business objectives and driving execution across multiple programs.

Responsibilities:

• Define and drive the AI/ML software engineering strategy in support of business and engineering priorities
• Translate business needs into an actionable portfolio of AI/ML, software, and digital engineering initiatives
• Lead a complex organization with multiple sub-functions or workstreams, ensuring alignment to medium and long term business objectives
• Provide leadership on investments, priorities, and tradeoffs to maximize business impact, technical scalability, and operational efficiency
• Partner with senior leadership to shape roadmaps, operating models, and capability plans for AI-enabled engineering
• Build, lead, and develop a high-performing engineering organization, including managers, technical leaders, and individual contributors
• Establish clear goals, work plans, resourcing models, and performance expectations across the organization
• Drive talent planning, succession planning, coaching, and capability development to strengthen organizational depth
• Foster a culture of accountability, technical excellence, collaboration, and continuous improvement
• Lead organizational design and staffing decisions in support of business strategy and evolving technology needs
• Oversee the development and deployment of AI/ML software, data pipelines, tools, and platforms used in product development, design optimization, and engineering productivity
• Ensure solutions are scalable, secure, maintainable, and integrated into enterprise and engineering workflows
• Drive execution across multiple concurrent programs, balancing innovation with operational discipline and delivery rigor
• Establish best practices for software development, model lifecycle management, validation, and production deployment
• Monitor execution performance, risks, dependencies, and quality metrics across programs and teams
• Partner with software, hardware, systems, product, manufacturing, and business teams to identify high value AI/ML use cases and drive adoption
• Influence stakeholders across functions and levels, including senior management and executives, to align on priorities and outcomes
• Communicate strategy, progress, risks, and business value clearly to technical and non-technical audiences
• Represent the function in key reviews, planning discussions, and external engagements with customers, partners, and vendors as needed
• Own planning for budget, staffing, and expense priorities across the function
• Establish operating mechanisms, governance processes, and performance metrics to ensure execution discipline and strategic alignment
• Assess organizational, technical, and compliance risks across the area of accountability
• Ensure adherence to schedules, budgets, quality expectations, and company policies
• Drive continuous improvement in methods, tools, and processes to enhance delivery effectiveness and engineering value

Requirements:

• Bachelor's degree and 13+ years of experience, or Master's degree and 10+ years of experience, in Computer Science, Software Engineering, Data Science, or a related technical field
• Typically 5+ years of progressive people leadership experience, including leading managers, senior technical professionals, or multiple teams
• Strong experience leading software engineering, AI/ML, data platform, or digital engineering teams in complex product or technology environments
• Demonstrated success defining strategy and delivering large-scale, cross-functional programs with measurable business impact
• Strong understanding of AI/ML technologies, software architecture, cloud or data platforms, and production deployment practices
• Experience managing budgets, resource planning, and organizational priorities across multiple initiatives
• Proven ability to influence senior leaders and drive alignment across technical and business stakeholders
• Strong business acumen with an understanding of how AI/ML capabilities can improve engineering productivity, product performance, and operational outcomes
• Excellent communication, presentation, and stakeholder management skills
• Ability to travel 10% to 25% to customers, conferences, partner locations, and TE development sites