Senior Product Manager

In this role you own Application Intelligence at Userlane, shaping metrics and data strategy across App Discovery, HEART Analytics, and Portfolio Overview. You’ll enable CIOs and IT leaders to see value vs. waste in software investments, drive actionable insights, and govern AI-assisted productivity. You shape data-driven decisions, connect fragmented data sources, and turn usage into measurable outcomes. This is a high-impact, cross-functional role at the heart of enterprise analytics and product strategy.

• high-performance culture
• empowered cross-functional team
• growth and development opportunities
• weekly 1:1s and personalised development plans
• budget for events and training
• flexible benefits related to savings, security, health and well-being

• Define and defend a metrics methodology and scoring system for HEART Analytics
• Deliver outcome-linked metrics that tie usage to cost savings, efficiency, and compliance risk
• Design analytics for leaders that answer practical questions, not just surface what happened
• Define integration strategies to combine behavioral data with cost, asset, and HR data sources
• Translate raw usage into actionable insights that drive business actions
• Contribute to AI adoption governance by measuring impact on productivity, cost, and ROI

• 5+ years of product management experience in data/analytics within a modern product organization
• Defined a metrics methodology or measurement framework that others build on
• Ability to reason about trade-offs and defend decisions with evidence
• Experience with enterprise B2B analytics; healthcare experience is a plus
• Strong communication skills across engineers, sales, support, and executives
• Customer-facing research and validation through conversations and observation
• Fluency in English (spoken and written)

• strategic thinking
• strong stakeholder management
• reasoned argument and credible debate
• data/analytics product management
• metrics methodology and scoring systems
• data integration concepts (behavioral data, cost data, asset data, HR data)