AI Program manager

What You’ll Do Opportunity Discovery

• 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 Hellermann Tyton 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.

• Problem Solving
• Analytical Thinking
• Business Acumen

• 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.

• 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)