Advise clients on data strategy, AI adoption, and analytics transformation. Work to develop AI-driven language solutions, enabling systems to interpret,……
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).