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 → Modern 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 governance practices, including model oversight, ethical AI usage,



and guardrails

- Collaborate with stakeholders to drive adoption of governance policies across global delivery teams

- Engage with senior client stakeholders (CXO / VP level).

- Act as a trusted advisor on data strategy, AI adoption, and digital transformation.

- Manage multi-geography teams and global client engagements.

- Stakeholder &

- Client Management

- Partnerships &

- Ecosystem

- Drive strategic partnerships with hyperscalers and technology partners such as:

- AWS, Azure, GCP

- Snowflake, Databricks

- OpenAI, Anthropic and GenAI ecosystem providers

- Influence joint GTM strategies and co-innovation initiatives.

- Leadership &

- People Development

- Lead and mentor large cross-functional teams (delivery, architecture, engineering).

- Build leadership pipelines and strong engineering culture.

- Drive performance, engagement, and capability development.

Must Have Skills &

- Experience

- 20 years of IT experience, with solid early career foundation in solution development / engineering.

- 10 years of experience in data engineering & platform delivery, including:
- Data Lake / Data Warehouse implementation

- Data migration (On-prem to Cloud / Cloud to Cloud)

- Platform modernisation & digital transformation

- 3–4 years of hands-on experience in GenAI / Agentic AI solutions.

- Proven experience in building and leading large delivery teams and CoEs.

- Strong experience in stakeholder management and global client engagement.

- Demonstrated experience in RFPs, RFIs, and large deal solutioning.

Technology Exposure (Mandatory)

- Programming: Python

- Data Engineering: ETL/ELT, Big Data frameworks (Spark, Hadoop ecosystem)

- Data Platforms: Snowflake, Databricks, Lakehouse architectures

- Cloud: AWS / Azure / GCP

- AI/GenAI: LLMs, RAG, Agentic frameworks, orchestration tools

Good to Have Skills

- Experience in multi-agent architectures and AI-driven automation of SDLC

- Exposure to MLOps, DataOps, and AI governance frameworks

- Experience in industry domains such as Insurance, Banking, Healthcare, Retail

- Thought leadership (whitepapers, POVs, client presentations)

📌 Agentic Data Delivery Lead (Pune)
🏢 EXL
📍 Pune