AI Program Manager

HellermannTyton North America•Milwaukee, WI

About The Position

HellermannTyton North America (HT NA) is accelerating the use of Artificial Intelligence to unlock capacity, improve quality, and fuel growth across North America. As the AI Program Manager, you will build and run a program of AI initiatives that create efficiencies by automating repetitive tasks and removing process waste. You will partner with Operations, Sales, Marketing, IT, HR, and Finance to select the right problems, deliver measurable outcomes quickly, and scale wins across plant sites to increase revenue, reduce cost, and eliminate waste. This will be achieved by maintaining HellermannTyton's IATF16949/ISO9001 Quality and ISO14001 EMS certifications by supporting all corporate policies, procedures, work instructions, and required documentation

Requirements

Bachelor’s degree in Project/Program Management, Engineering, Manufacturing, Computer Science, Data/Analytics, or related field.
3+ years leading data/AI/automation programs with manufacturing operations; proven track record delivering hard dollar benefits and labor hour avoidance.
Mastery of program management (business cases, roadmaps, stage gates, financials).
Excellent stakeholder communication and leadership across Operations, Sales, Marketing, IT, HR, and Finance.
Collaboration & Communication
Adaptability
Problem Solving
Analytical Thinking
Business Acumen

Nice To Haves

Background manufacturing or associated environments.
Lean / Six Sigma certification; experience embedding AI within continuous improvement programs.
Experience with AI Tools (MS CoPilot Studio, MS Fabric, MS Azure Foundry)

Responsibilities

Conduct stakeholder interviews to capture business objectives and constraints; translate high-level goals into clear, actionable AI project requirements.
Build simple business cases with the respective departments; baseline current performance, and quantify benefits
Work with Business Stakeholders to prioritize initiatives by value, impact, labor hour avoidance, and risk mitigation.
Prioritize AI program and project roadmap into short, iterative deliverables; prioritize delivery based on business impact and feasibility.
Run stage-gated delivery (scope → pilot → scale) aligned to HellermannTyton COE project governance; set decision forums, risk controls, and incremental results.
Work with Business and IT to develop data and IT infrastructure and tools to support AI program roadmap.
Ensure ownership of agents and AI workflows are transitioned to business stakeholders within the business.
Engage with change management to ensure AI projects are accepted, and AI becomes integrated into processes such that AI becomes “the way we work.”
Make value visible and auditable. Track and report on program benefit metrics such as savings, improved experience, reduced waste, efficiency improvements, etc.
Share AI knowledge to upskill the organization. Coach stakeholders to see AI use cases in the processes.
Partner with Legal/HR on data privacy and AI use policies.
Ensure solutions comply with IT corporate cybersecurity and risk guidelines.