Director, Enterprise Data & Analytics

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.

Responsibilities

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; Partner with Engineering to maintain clean, documented data contracts between source systems and the warehouse; Build toward a self-service analytics environment where business teams can access certified data without waiting on a central queue; Own all certified data models and the company’s canonical metric definitions; Facilitate the Data Council; Build and maintain the data catalog; Drive data literacy across the organization; Partner with domain analysts and stakeholders embedded across CS, Sales, GTM, and Finance; Support Customer Success with a reproducible, certified health score model, automated QBR data packages, and churn signal reporting; Support Finance with clean automated pipelines from RevPro, NetSuite, etc.; Support Sales & GTM with reliable pipeline, funnel, and attribution data; Prioritize domain coverage in partnership with the Chief AI & Transformation Officer; Hire and develop the Enterprise Data & Analytics org; Operate a federated model; Create the conditions for data to be a shared organizational capability.

Requirements

12+ years in data, analytics, or data engineering, with at least 5 years leading multi-disciplinary data teams; Proven experience building or standardizing a data platform across multiple business functions in a SaaS environment - not just maintaining one someone else built; Strong hands-on fluency with the modern data stack: Snowflake, dbt, a pipeline orchestration tool (Fivetran, Airflow, or equivalent), and at least one BI platform (Sigma, Looker, Tableau, or similar); Experience owning a semantic layer and driving cross-functional alignment on metric definitions — you have brought Finance, Sales, and CS stakeholders to a shared agreement on business-critical KPIs like ARR, NRR, and churn, and ensured that alignment is encoded in governed, production-ready data models rather than remaining an informal understanding; Working knowledge of data governance: cataloging, lineage, access controls, data quality frameworks, and how to make governance feel like enablement rather than bureaucracy; Demonstrated ability to build credibility with non-technical business leaders across CS, Finance, Sales, or GTM and translate data platform capabilities into outcomes they care about; Experience hiring and developing data talent across engineering, analytics, and governance disciplines; Demonstrated curiosity and practical experience applying AI and LLM-based tools to accelerate data workflows - whether automating pipeline documentation, enabling natural language querying across the semantic layer, or surfacing anomalies and data quality issues without manual intervention.

Nice to have

Hands-on familiarity with the Gainsight data stack (e.g., Gainsight CS, Salesforce, RevPro, NetSuite) and data catalog platforms (e.g., Atlan, Alation, or Collibra); Experience operating in federated or hub-and-spoke data models across multiple business domains (e.g., supporting both CS/RevOps and Finance/FP&A); Exposure to ML/AI applications in a SaaS context (e.g., predictive churn, revenue forecasting) and experience driving company-wide data literacy or self-service analytics programs.

Benefits

Full health coverage (including OPD); wellness and mental health resources; flexible remote work options; childcare assistance; dedicated Recharge Holidays - one long weekend each quarter; mentoring and career development opportunities.