Sr Advanced Tech Product Owner

Honeywell Technologies; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Honeywell Technologies invites a senior sustainability leader to drive customer transformation for smart buildings and AI-enabled operations. The role focuses on translating energy, carbon, ESG concepts into measurable outcomes such as energy efficiency and decarbonization, while advising executives and stakeholders.

The candidate will develop roadmaps, engage in opportunities to improve performance, and partner with sales, product, and engineering teams to realize value from sustainability

Qualifications

• 15+ years of experience in sustainability consulting, energy management, commercial building operations or related industries.
• Deep knowledge of Building Management Systems (BMS), Energy Management Systems (EMS), building automation, IoT architectures and OT environments.
• Familiarity with LEED, WELL, GRESB, ISO 50001 and related ESG, energy and sustainability frameworks.
• Experience with AI/ML, Generative AI, Agentic AI frameworks, Microsoft Copilot, Azure AI, OpenAI or comparable AI orchestration platforms.

Responsibilities

• Lead sustainability assessments and strategic roadmaps for commercial buildings, real estate portfolios, campuses and critical infrastructure.
• Advise customers on decarbonization pathways, energy optimization, net-zero programs, ESG reporting and sustainability best practices.
• Define AI-enabled solution architectures and agent workflows for building operations, including digital twins, IoT data and OT integration.
• Collaborate with product, engineering and data-science teams to design agent workflows, guardrails and human-in-the-loop operating models.

Skills

Sustainability consulting

Energy management

Building automation

IoT architectures

AI/ML

Generative AI

Agentic AI

Business case development

Roadmap development

C-level engagement

Data-driven decisions

Innovation leadership

Education

Bachelor's degree in Engineering

Master's degree preferred

Tools

BMS/EMS

IoT platforms

OpenAI

Azure AI

Microsoft Copilot

Job description

Job Description

We are seeking a senior sustainability professional with 15+ years of commercial-building domain experience to lead customer sustainability transformation through smart building technologies, digital platforms and Agentic AI-enabled operating models. The role acts as a trusted advisor to customers and executive stakeholders, translating energy, carbon, ESG and autonomous optimization concepts into measurable business outcomes, including energy efficiency, decarbonization, operational excellence and net-zero progress.

We are seeking a senior sustainability professional with 15+ years of commercial-building domain experience to lead customer sustainability transformation through smart building technologies, digital platforms and Agentic AI-enabled operating models. The role acts as a trusted advisor to customers and executive stakeholders, translating energy, carbon, ESG and autonomous optimization concepts into measurable business outcomes, including energy efficiency, decarbonization, operational excellence and net-zero progress.

Responsibilities

Sustainability Strategy & Advisory

• Lead sustainability assessments and strategic roadmaps for commercial buildings, real estate portfolios, campuses and critical infrastructure.
• Advise customers on decarbonization pathways, energy optimization, net-zero programs, ESG reporting and sustainability best practices.
• Identify opportunities to improve building performance, occupant experience, operational resilience and environmental impact.
• Provide solution consulting across discovery, assessment, solution definition, implementation support and value realization.

Agentic AI for Intelligent Building Operations

• Define and scale Agentic AI applications that autonomously monitor, analyze, recommend and optimize commercial-building operations.
• Develop use cases across energy optimization, carbon reduction, predictive maintenance, fault detection, space utilization, comfort control and ESG performance monitoring.
• Collaborate with product, engineering and data-science teams to design agent workflows, multi-agent orchestration patterns, guardrails and human-in-the-loop operating models.
• Translate customer sustainability challenges into AI-enabled solution architectures using digital twins, IoT data, BMS/EMS integration, OT systems, analytics and autonomous decision workflows.

Customer Engagement & Value Communication

• Engage C-level executives, sustainability leaders, facility managers, operations teams and engineering stakeholders as a trusted advisor.
• Develop compelling business cases covering ROI, energy savings, carbon abatement, productivity gains, asset uptime and reduced manual operational effort.
• Facilitate workshops, executive briefings and strategy sessions that align sustainability ambition with practical implementation roadmaps.
• Present recommendations, deployment plans and realized outcomes clearly to technical and non-technical audiences.

Solution Development, Delivery & Measurement

• Partner with sales, product management, engineering, consulting and services teams to create customer-centric sustainability and AI solutions.
• Support solution architecture and implementation planning to ensure proposed capabilities deliver measurable environmental, operational and financial outcomes.
• Define KPIs, baselines and measurement frameworks for energy intensity, carbon emissions, comfort, uptime, issue resolution and adoption.
• Establish repeatable playbooks and frameworks for AI-driven sustainability consulting and autonomous building optimization.

Innovation & Thought Leadership

• Track emerging sustainability regulations, market needs, smart-building technologies, AI/ML innovation, GenAI, Agentic AI frameworks and digital transformation trends.
• Contribute to new offerings, solution accelerators, service models and scalable frameworks for intelligent building operations.
• Represent the organization in industry forums, customer events, executive briefings and sustainability-focused engagements.
• Mentor teams and foster a culture of innovation, customer centricity, responsible AI adoption and continuous improvement

Qualifications

REQUIRED QUALIFICATIONS

• Bachelor's degree in Engineering, Sustainability, Energy Management, Environmental Engineering or a related discipline; master's degree preferred.
• 15+ years of experience in sustainability consulting, energy management, commercial building operations, building automation, smart buildings, facility management or related industries.
• Deep knowledge of Building Management Systems (BMS), Energy Management Systems (EMS), building automation, IoT architectures and operational technology environments.
• Practical experience in sustainability assessments, energy audits, carbon accounting, building-performance optimization and decarbonization programs.
• Familiarity with LEED, WELL, GRESB, ISO 50001 and related ESG, energy and sustainability frameworks.
• Experience with AI/ML, Generative AI, Agentic AI frameworks, Microsoft Copilot, Azure AI, OpenAI or comparable AI orchestration platforms.
• Experience developing business cases and roadmaps for AI-enabled sustainability, smart-building transformation or digital operations programs.
• Demonstrated success driving innovation through emerging technologies, analytics, data-driven decisions and scalable operating models.

About Us

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.