Job Opportunities API

We’re building the AI-driven future of customer success, from retention to growth! We’re building the AI-driven future of customer success, from retention to growth! Gainsight is the AI-powered retention engine behind the world’s most customer-centric companies. The Gainsight CustomerOS platform orchestrates the customer journey from onboarding to outcomes to advocacy. More than 2,000 companies trust Gainsight’s applications and AI agents to drive learning, adoption, community connection, and success for their customers. To explore how our suite of solutions is shaping the future of customer success, check out the link https://www.gainsight.com. About This Role: We’re looking for a full-time Director, Enterprise Data & Analytics to join our Engineering team reporting to the Chief AI & Transformation Officer . This role is a hybrid role based out of our Hyderabad, India. In this role, you'll play a key role in giving every function at Gainsight a single, trusted source of data by owning the platform, pipelines, semantic layer, and domain analysts that turn raw data into decisions. This is a great opportunity for someone who thrives in a fast-moving, cross-functional build environment and enjoys working cross-functionally with teams like Customer Success, Sales, GTM, Finance, and Engineering. The ideal candidate brings strong skills in modern data stack architecture (Snowflake, dbt, pipeline orchestration), semantic layer ownership and metric governance, and leading multi-disciplinary data teams. What You'll Do: Data Platform & Infrastructure - Own the Snowflake architecture, ingestion pipelines, and data reliability SLAs across all business functions. - Define and enforce pipeline standards, data quality monitoring, and incident response so every function can trust the data they work with. - Partner with Engineering to maintain clean, documented data contracts between source systems (Gainsight CS, Salesforce, RevPro, NetSuite, Workday, Ramp) and the warehouse. - Build toward a self-service analytics environment where business teams can access certified data without waiting on a central queue. Semantic Layer & Metric Governance - Own all certified data models and the company’s canonical metric definitions - the authoritative source for ARR, NRR, churn rate, pipeline, health score, headcount, and all other business-critical KPIs. - Facilitate the Data Council: the cross-functional governance body where CS, Sales, GTM, Finance, and Engineering align on definitions. When teams disagree on what a number means, the Data Council decides - and the outcome is encoded in code, not a slide deck. - Build and maintain the data catalog - the living registry of every certified metric, its definition, source system, owner, refresh cadence, and change history. - Drive data literacy across the organization so business teams know how to find, interpret, and trust the data available to them. Cross-Functional Domain Analytics - Lead domain analysts embedded across CS, Sales, GTM, and Finance - people who sit with their business teams and translate function-specific needs into solutions built on the central platform. - For Customer Success: a reproducible, certified health score model, automated QBR data packages, and churn signal reporting that CSMs actually rely on. - For Finance: clean automated pipelines from RevPro, NetSuite, etc. that eliminate manual close reconciliation and give the Finance a trusted month-end workflow. - For Sales & GTM: reliable pipeline, funnel, and attribution data so RevOps and GTM leadership can run forecasting and planning from a single source. - Prioritize domain coverage in partnership with the Chief AI & Transformation Officer based on where data gaps are causing the most business impact. Team & Culture - Hire and develop the Enterprise Data & Analytics org: platform engineers, analytics engineers, a governance manager, and domain analysts. - Operate