Director, Enterprise Data & Analytics

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.