Sr AI Manager

Honeywell
Bengaluru
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 15+ yearsSkills: ["Leadership","Mentoring","Stakeholder management","Program governance","Continuous improvement"]

Lead end-to-end delivery of AI programs within the VE/CE Center of Excellence Advanced Tech team, translating AI/ML strategy into executable plans and measurable business outcomes. Drive execution rigor through program governance, stakeholder alignment, and disciplined delivery practices. Own evaluation, testing, adoption, and value realization across AI tracks, while establishing documentation and compliance frameworks. Build and scale a high-performing AI organization, including resource planning, budgeting, and tooling/platform roadmap development.

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FursaFursa
Honeywell
Honeywell
1 day ago

Sr AI Manager

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 day agoStatus: Live

Job Summary

Lead end-to-end delivery of AI programs within the VE/CE Center of Excellence Advanced Tech team, translating AI/ML strategy into executable plans and measurable business outcomes. Drive execution rigor through program governance, stakeholder alignment, and disciplined delivery practices. Own evaluation, testing, adoption, and value realization across AI tracks, while establishing documentation and compliance frameworks. Build and scale a high-performing AI organization, including resource planning, budgeting, and tooling/platform roadmap development.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Lead end-to-end delivery of AI programs by partnering with AI technical leadership and SMEs to translate strategy into executable plans and measurable outcomes
  • •Drive execution rigor across AI initiatives using program management practices (planning, governance, risk mitigation, stakeholder communication) to ensure predictable, high-quality delivery
  • •Collaborate with vendors and cross-functional teams (IT, business, functional groups) to enable seamless delivery, integration, and adoption of AI solutions
  • •Own requirements evaluation, testing, adoption, and value realization across all AI tracks to operationalize solutions and deliver impact
  • •Establish robust documentation and governance standards (including model lineage, evaluation frameworks, compliance requirements, audit-ready artifacts) and develop tooling/platform roadmaps

Key Requirements

  • •15+ years of overall experience with demonstrated leadership in AI/ML, data analytics, and program delivery, including planning, budgeting, stakeholder management, and team development
  • •Lead multi-workstream AI initiatives by managing dependencies and delivering business outcomes with strong execution discipline
  • •Demonstrate AI/GenAI and MLOps/LLMOps literacy across the AI/ML lifecycle, LLM/GenAI patterns, deployment/monitoring, and evaluation
  • •Have cloud and platform understanding (preferably GCP), including cloud-native architecture, scalable services, security controls, and readiness for production AI
  • •Enforce governance, compliance, and documentation including model lineage/traceability, evaluation frameworks, change control, and audit-ready artifacts
Experience:15+ yearsAI/MLData analyticsProgram delivery
Skills:LeadershipMentoringStakeholder managementProgram governanceContinuous improvement
Tech Stack:AI/MLGenAIMLOpsLLMOpsGCP

Company Brief

Honeywell
Global diversified technology and manufacturing company providing aerospace systems, building technologies, performance materials, and safety & productivity solutions for industrial, commercial, and consumer markets.
Industry: Conglomerates & Holding Companies
Company Size: Enterprise (1,001+ employees)
Revenue: USD 25B to 50B
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Charlotte, United States
Founded: 1906
Glassdoor
Glassdoor: 3.8
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