Data Analytics Lead

Job description

KEY RESPONSIBILITIES

Own end to end delivery across Data Engineering & Platform, BI & Visualization, Data Science, Data Analytics & Customer Insights aligned to tower scopes. Drive foundational setup — environments, DR, CI/CD, platform observability (SnowMonitor) — and performance testing frameworks across pipelines & reporting. Oversee Data Science lifecycle — maintain production models, set up MLOps and orchestration pipelines, and expose outcomes downstream.

Build and manage a multi disciplinary onshore/offshore team; execute knowledge transition (shadow/primary/steady state) per transition plans. Partner with Customer Insights and external agencies to integrate quantitative/qualitative insights with Snowflake analytics. Maintain SOPs, runbooks, KEDB, architecture/design documentation, and knowledge repositories; enforce ITSM/CAB for changes. Run governance cadence — weekly operational, monthly tactical, quarterly strategic — with SLA/KPI reporting, risks, PIRs, and continuous improvement actions.

Manage dependencies with different projects, coordinating onboarding, access, and delivery risks across overlapping streams (Data Engineering & BI). Champion continuous improvement — self serve enablement, report rationalization, performance & cost optimization, and platform hardening.