Data Analytics Lead

Job DescriptionKEY 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 (Snow Monitor) - 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.