Key Responsibilities
• Own feature-level delivery within Insight—report builders, dashboard creation, visualizations, filters, scheduling, sharing, and export—driving discovery, writing clear PRDs/user stories, and defining acceptance criteria and success metrics.
• Maintain and prioritize the Insight feature backlog; align work to the Data Products roadmap and OKRs; plan sprints and clarify scope for the team.
• Partner with design and engineering to explore solution options for self-service analytics (data visualization UX, query performance, the underlying datasets and semantic layer that power client reports), estimate work, sequence milestones, and remove day-to-day blockers.
• Run lightweight research and experiments with clients (interviews, prototypes, usability tests on report- and dashboard-building workflows) to validate assumptions and refine requirements.
• Instrument Insight features and build usage dashboards; monitor adoption of reports and dashboards, data quality and accuracy, query/load performance, and client satisfaction; iterate based on data and user feedback.
• Coordinate releases and go-to-market support (release notes, client enablement, rollout plans) with guidance from senior product leaders, partnering with client success and support teams who work directly with clients in the platform.
• Ensure quality and operational readiness: define acceptance criteria, support QA/UAT, and maintain client-facing user guides, in-product help, and runbooks—paying close attention to data correctness and trust, since clients make decisions on these reports.
• Identify and surface trade-offs, risks, and dependencies early (including data availability, upstream pipelines, and performance at client scale); escalate appropriately and drive clear decisions.
• Communicate status, decisions, and changes to internal stakeholders and, where relevant, clients; document rationale and maintain up-to-date product artifacts.