AI Manager

Honeywell Technologies; Bengaluru South; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Honeywell Technologies is seeking an AI Manager (B4) to lead end-to-end AI programs within the VE/CE CoE, aligning strategy with measurable business outcomes. You will drive governance, risk mitigation, and stakeholder alignment while building a high-performing AI organization.

Ideal candidate has extensive experience in AI/ML program delivery, GenAI, MLOps and cloud platforms, with strong cross-functional collaboration and budgeting acumen.

Qualifications

• 14+ years of AI/ML/data analytics and program delivery experience.

Responsibilities

• Lead the end-to-end delivery of AI programs, translating strategy into executable plans and measurable business outcomes.

Skills

AI program delivery

Stakeholder management

Cloud & platform (GCP)

Governance & documentation

Vendor management

People leadership

Budgeting & AOP

MLOps/LLMOps literacy

Cross-functional collaboration

Strategic planning

Job description

Job Description:

AI Manager (B4)

Position Description:

Honeywells Value Engineering (VE) and Component Engineering (CE) Center of Excellence (COE) is a dynamic collective of professionals dedicated to refining product development through innovative engineering and strategic component selection.

You will be part of Honeywells VE/CE CoE Advanced Tech team driving Tech Charter & Strategy with focus on how AI/ML can enable us meet VE/CE revenue targets.

You will be responsible to drive end-to-end delivery of AI programmes by partnering with AI technical leadership and SMEs, translating strategy into structured execution plans and measurable business outcomes. Drive execution rigor across AI initiatives through strong programme governance, stakeholder alignment, and disciplined delivery practices to ensure quality and predictability. Drive adoption, value realisation, and compliance by enabling robust evaluation, testing, documentation, and governance frameworks across all AI tracks. Drive organisational growth and capability by building a high-performing team, scaling talent, managing resource and budget planning, and evolving tools and systems to support sustainable AI delivery.

Responsibilities

Key Responsibilities:

• Lead the end-to-end delivery of AI programs, partnering with AI technical leadership and SMEs to translate strategy into executable plans and measurable business outcomes.
• Drive execution rigor across AI initiatives using strong program management practices (planning, governance, risk mitigation, stakeholder communication) to ensure predictable and high-quality delivery.
• Collaborate with vendors and cross-functional teams (IT, business, and functional groups) to enable seamless delivery, integration, and adoption of AI solutions across the organization.
• Own requirements evaluation, testing, adoption, and value realization for all AI tracks, ensuring solutions are effectively operationalized and deliver tangible impact.
• Establish and enforce robust documentation and governance standards, including model lineage, evaluation frameworks, compliance requirements, and audit-ready artefacts.
• Develop and drive tooling and platform roadmaps (AI/ML/GenAI systems, MLOps/LLMOps capabilities), continuously improving efficiency, scalability, and engineering practices.
• Manage resource planning, AOP, and budget, optimizing capacity across in-house teams and vendors while aligning with business priorities.
• Build and lead a high-performing AI organization through hiring, capability development, performance management, and continuous upskilling across AI and Data tracks.

Qualifications

YOU MUST HAVE:

• 14+ years of overall experience with demonstrated leadership in AI/ML/Data analytics/program delivery, including planning, budgeting, stakeholder management, and team development
• AI program delivery leadership: ability to run multi-workstream AI initiatives, manage dependencies, and deliver business outcomes with strong execution discipline.
• AI/GenAI & MLOps/LLMOps literacy: solid working knowledge of AI/ML lifecycle, LLM/GenAI solution patterns, deployment/monitoring, and evaluation approaches.
• Cloud & platform understanding (preferably GCP): familiarity with cloud-native architecture, scalable services, security controls, and operational readiness for production AI.
• Governance, compliance & documentation: ability to enforce traceability (model lineage), evaluation frameworks, change control, and audit-ready documentation practices.
• Vendor and cross-functional partnering: proven ability to align vendors, IT, and functional groups; negotiate deliverables/SLAs; and resolve delivery friction.
• Process excellence & continuous improvement: benchmark practices, improve efficiency, strengthen quality gates, and institutionalize repeatable delivery mechanisms
• Financial & operating management: resource planning, budgeting/AOP ownership, capacity modelling, and delivery trade-offs across build/run/vendor mix.
• People leadership: hiring, coaching, performance management, succession planning, and building inclusive, accountable teams with strong engagement

Honeywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world’s most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial and process sectors with a broad portfolio of services, solutions and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector’s transition from automation to autonomy.