Senior Product Data Manager

About the job

At Celigo, we believe integration should empower — not exhaust — innovation. As a modern Integration and Automation Platform (iPaaS), we’re on a mission to simplify how companies integrate, automate, and optimize processes. Powered by game-changing technology like runtime AI and prebuilt, mission-critical integrations, Celigo is redefining how businesses connect their world. Celigo is looking for a Senior Product Data Manager to own how product data works who will own the foundations that make product analytics possible — event taxonomy, tracking standards, metric definitions, and data quality. This is not a Product Manager role and not a reporting/analytics role. You will not own feature roadmaps, dashboards, or business analysis. You will operate as the data backbone for Product — working between Product, Data Engineering, UX Research, and Analytics to ensure product data is reliable, usable, and scalable. Product leadership defines what success looks like (OKRs/KPIs). Your job is to ensure that success can be accurately measured, consistently defined, and continuously trusted across the organization. You are expected to identify gaps in how data works today, define how it should work and build the systems and standards to get there. This is a high-autonomy, hands-on role. You will write SQL, validate data, define tracking, and enforce standards — while also shaping how product data evolves over time. What would you do if hired? • Own product data definitions, event taxonomy, and tracking standards across the Product organization • Ensure product usage data is correctly instrumented, validated, and consistently implemented • Define and enforce data governance practices to maintain a single source of truth • Enable Product Managers to measure success by providing clear frameworks, standards, and guardrails for metrics and tracking • Ensure product OKRs and KPIs are measurable, consistently defined, and continuously monitored • Build and maintain reliable datasets, reports, and dashboards for ongoing product performance tracking • Write and validate SQL to troubleshoot discrepancies, verify data correctness, and support product decision-making • Act as the point of accountability for product data quality, definitions, and trust • Partner with the Data Engineering team to identify gaps in Snowflake and ensure product data is modeled correctly (without owning pipelines) • Own and maintain product analytics tooling (e.g., Pendo), ensuring it supports consistent tracking and data access • Define scalable processes for instrumentation, validation, and data change management • Identify systemic issues in data quality or tracking and drive long-term fixes, not one-off patches • Proactively define and execute a roadmap to improve product data maturity across the organization.