Utility Software Product Management Lead
Honeywell
- Location
- Ireland
- Work model
- On-Site
- Level
- Senior
- Posted
- 16h ago
About this role
Utility Software Product Manager Reports to: Andreu Pages - Director, Utility Software Portfolio Role purpose The Utility Software Product Manager owns the offering management of Honeywell Forge cloud-hosted applications for utilities in the European market. This role defines what we build to support utility workflows across multiple departments, with an initial focus on water and gas utilities. The Product Manager will responsible for ensuring our product investments produce measurable value in utility operations and deliver business outcomes for Honeywell Technologies. Focus areas
Product strategy and roadmap. Define product requirements, specifications, and roadmap for applications in the Forge Utility Software portfolio. Maintain alignment with the broader Forge platform architecture. AI and Agentic AI roadmap. Own the development of AI use cases for specified utility market opportunities and translate AI capability into utility-relevant outcomes. Customer and market discovery. Work with Solution Architects, Sales, and customers to identify the highest-value use cases. Conduct VOC and competitive analysis, especially against MDM, SCADA, and utility analytics providers. Engineering partnership. Set product requirements and feed development priorities into the engineering / R&D organization.
Qualification signals Required
Cloud software product management experience. A track record of shipping cloud-native B2B software products. Comfortable with SaaS commercial models, cloud architecture trade-offs, and data platform considerations. Water and gas utility domain knowledge. Familiarity with utility analytics, MDM, GIS/CIS integration, or SCADA use cases, particularly for water and gas utilities. Able to talk credibly with utility analysts and operations staff. Market-back product methodology. Demonstrated history of building roadmaps from customer research, VOC, and competitive analysis rather than from internal ideation. AI / ML product fluency. Working knowledge of how to scope, evaluate, and ship AI features in a B2B context.
Nice to have
Experience with utility data integration platforms (head-end systems, MDMS, data lakes, or similar). Experience defining commercial models for AI features (consumption-based pricing, tiered SaaS, etc.). Background working with utility regulators, national or municipal utility departments, or industry consortia.
Job level
8+ years experience Individual contributor, no direct reports for now