Found 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...
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...