Sr. Program Manager AI

Honeywell Honeywell · Industrial · Bengaluru, Karnataka, India

The Senior Project Manager (AI Transformation) role is responsible for implementing and adopting AI tools across the organization, leading an upskilling initiative to build an AI culture, define key AI roles, and deliver role-based AI trainings. The role partners with leaders to translate the AI transformation roadmap into measurable business outcomes and scaled change adoption.

What you'd actually do

  1. Own and manage the HTCS AI Transformation program plan (scope, milestones, budget/benefits, dependencies, risks, and change impacts) and establish the governance cadence (steering committee, workstream reviews, and KPI reporting).
  2. Drive implementation and scaled adoption of priority AI tools within HTCS (e.g., copilots, knowledge assistants, automation, analytics/ML solutions), ensuring alignment to business problems, data/security requirements, and user needs.
  3. Build and maintain a prioritized AI use-case portfolio with SBG Engineering and HTCS function leaders; define value hypotheses, success metrics, and realization tracking (productivity, quality, cycle time, cost, and user satisfaction).
  4. Lead the HTCS AI upskilling program end-to-end: training needs assessment, role-based curricula, learning pathways, communications, learning logistics, completion tracking, and effectiveness measurement.
  5. Partner with HR/L&D to define AI capability frameworks and key AI roles across HTCS (e.g., AI Product Owner, Citizen Developer, Prompt Engineer, Data Steward, AI Champion) and embed them into talent processes (hiring, onboarding, performance and career paths).

Skills

Required

  • Program/project management for enterprise-scale deployments
  • Driving adoption of technology products/tools
  • Working knowledge of AI concepts and tooling (GenAI, copilots, prompt practices, automation, data/analytics)
  • Stakeholder management and executive communication
  • Operating in environments with strong governance expectations (data privacy, cybersecurity, compliance)
  • Benefits realization and KPI tracking for transformation outcomes

Nice to have

  • Project/Program Management certification (PMP/PRINCE2/Agile)
  • AI/ML, data analytics, or cloud certifications
  • Experience with learning design/academy programs, communities of practice, or enterprise capability building initiatives
  • Demonstrated delivery of digital/AI initiatives from concept through rollout, including adoption and sustainment
  • Strong facilitation and storytelling skills

What the JD emphasized

  • AI transformation roadmap
  • implement and adopt AI tools
  • upskilling initiative
  • AI culture
  • AI roles
  • AI trainings