Role Overview
The Data SME (Senior Leadership Role) is responsible for defining and executing enterprise-wide data strategy, architecture, governance, and analytics modernization initiatives. This role requires deep expertise across data platforms, engineering, cloud ecosystems, governance, AI/ML enablement, LLMOps , and Agentic AI ecosystems , with robust leadership to drive transformation at scale.
Key Responsibilities
Enterprise Data & AI Strategy
Define the enterprise data architecture, reference models, and technology roadmap.
Establish strategy for enterprise adoption of LLMs, RAG architectures, LLMOps pipelines , and autonomous agent-based AI systems.
Drive integration of structured, semi‑-structured, and unstructured data for generative AI use cases.
Data Platform & Pipeline Architecture
Design and govern data lake, data warehouse, and lakehouse architectures.
Lead ingestion, transformation, quality, metadata, and governance frameworks.
Architect real-time, batch, and streaming pipelines across cloud platforms.
Implement scalable vector databases , embedding pipelines,



and semantic search workloads.
Cloud Modernization & Data Engineering
Drive cloud data modernization using AWS, Azure, or GCP native services.
Lead data engineering using Spark, Databricks, Snowflake, Big Query, or Synapse.
Implement Data Ops/MLops pipelines using Airflow, ADF, Glue, or similar.
Extend MLOps to LLMOps : prompt management, model registries for LLMs, evaluation frameworks, guardrails, and observability.
Governance, Quality & Compliance
Ensure data governance maturity—cataloging, classification, lineage, ownership, and policy automation.
Establish governance for generative AI: responsible AI controls, toxicity filtering, guardrails, hallucination evaluation, and bias mitigation.
Ensure compliance with GDPR, DPDP, HIPAA, PCI, SOC2, and emerging AI regulations.
AI, ML, and Agentic Workflows
Partner with AI/ML teams to build feature stores, training pipelines, and model deployment w

📌 Data and ai architect (Bengaluru)
🏢 HCLTech
📍 Bengaluru