Roles & Responsibilities
1. 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.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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