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 → Contemporary 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 govern

📌 Agentic Data Delivery Lead (Pune)
🏢 EXL Talent Acquisition Team
📍 Pune