Roles & Responsibilities
Delivery Leadership & Strategy
Lead end-to-end delivery of large-scale data engineering and modernisation
programs (Data Lakes, Data Warehousing, Lakehouse, Data Migration).
Define and drive Agentic AI-led delivery models to improve productivity
across SDLC.
Own delivery governance, quality, timelines, and client satisfaction across
multiple accounts.
Data Platform & Modernisation Leadership
Drive enterprise-level data transformations including:
On-prem → Cloud migrations
Cloud → Cloud transformations
Legacy DW → Up-to-date Lakehouse / Warehouse
Platform modernisation & digitalisation initiatives
Architect scalable, resilient, and future-ready data ecosystems.
GenAI / Agentic AI Delivery
Lead design and implementation of Agentic AI / LLM-based solutions in
enterprise data ecosystems.
Define delivery patterns for multi-agent systems, RAG pipelines, automation,
and intelligent workflows.
Drive adoption of AI-led accelerators across delivery programs.
Solutioning & Pre-Sales




Lead RFP / RFI / proactive solutioning for large deals.
Build value-led proposals including solution architecture, costing, and
delivery models.
Work closely with sales and account leadership in deal shaping.
CoE & Capability Building
Build, scale, and run Data / AI / Agentic AI Centres of Excellence (CoEs).
Define frameworks, accelerators, reusable assets, and best practices.
Develop internal capability maturity models and delivery standards.
Data Governance:
Define and enforce enterprise-wide data governance frameworks covering data
quality, lineage, metadata, and access controls
Ensure compliance with regulatory requirements, data privacy (PII), and
security standards across all data and AI platforms
Embed governance controls within data engineering pipelines and Agentic AI /
GenAI delivery workflows
Establish standards for data lifecycle management, audit readiness, and risk
mitigation
Implement AI

📌 Agentic Data Delivery Lead Pune
🏢 EXL
📍 Pune