Senior Product Manager, AI and Analytics - Intelex

Intelex is looking for a Senior Product Manager, AI and Analytics to join our growing AI team and help shape the future of intelligence-powered EHSQ software. In this role, you will own the product vision, roadmap, and delivery for AI and analytics capabilities across the Intelex platform—spanning structured data transformation, embedded AI features, and the analytics experiences that turn EHSQ data into organizational insight.

You will work at the intersection of customer value, data architecture, and cutting-edge AI—translating complex enterprise needs into clear, prioritized roadmaps and working hand-in-hand with engineering, design, and go-to-market teams to bring those roadmaps to life. The ideal candidate blends strong analytical thinking with a deep passion for AI product development and brings communication skills to align cross-functional stakeholders and represent our product strategy externally.

Responsibilities and Deliverables

Product Strategy & Roadmap

Define and maintain the product roadmap for AI and analytics capabilities, balancing near-term customer value with long-term platform differentiation.

Translate business objectives, market signals, and customer research into a prioritized backlog with clear goals, success metrics, and release milestones.

Develop and communicate a compelling product vision for how AI—including LLMs, Auto-Structure, AI Lens, and agentic workflows—will transform how EHSQ professionals work.

Partner with the VP of Data Analytics, Architecture & AI to align AI product investments with company strategy and Fortive Business System priorities.

Identify opportunities to leverage Intelex’s unique cross-industry EHSQ data as a strategic moat, and build products that capitalize on it.

Customer & Market Discovery

Conduct ongoing customer discovery—through interviews, advisory councils, and collaboration with sales and customer success—to deeply understand EHSQ workflows and unmet needs.

Analyze usage data, NPS feedback, and support signals to identify friction points and validate hypotheses before committing to development.

Track the competitive landscape across EHSQ software, EHS AI point solutions, and horizontal AI platforms to surface gaps and positioning opportunities.

Partner with marketing on positioning, messaging, and analyst relations (e.g., Verdantix, Gartner) for AI and analytics features.

Delivery & Execution

Own the end-to-end delivery of AI and analytics features—from writing clear PRDs and acceptance criteria through sprint planning, launch, and post-release iteration.

Collaborate closely with engineering leads, AI Solution Architects, and UX designers to make sound build-vs-buy-vs-partner decisions and ensure technical feasibility.

Define instrumentation and analytics strategies so new AI features are measurable from day one; monitor adoption, quality, and outcome metrics post-launch.