Job Description
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 strong 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 r...
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 strong 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 r...