Lead the design of logical, physical, and semantic data architectures to support AI, advanced analytics, GenAI and Agentic AI use cases
Define AI‑ready data models, feature‑oriented structures, and analytics‑ready data assets aligned to enterprise data platforms
Ensure architectural alignment between data platforms, AI tooling, and MLOps pipelines
Support design and governance of the Foundry Ontology layer as the enterprise semantic backbone for AI use cases
Architect data flows and patterns supporting AI POCs, experimentation environments, and sandbox platforms
Guide data sourcing, profiling, and readiness activities for AI Data Scientists, Data and AI Engineers
Own the data architecture stage-gate process across POC, expanded pilot, and production phases; define and maintain AI-readiness scorecards to assess data asset maturity at each stage
Architect integrations across source systems, data platforms, analytics tools, and AI services
Evaluate and onboard new data sources and technologies to meet evolving AI requirements
Define reference architecture and architectural guardrails for cloud, hybrid, and global deployments
Lead/support solution architecture development for projects/products, where necessary
Mentor junior architects, data engineers and provide architectural guidance to delivery teams
Contribute to AI Hub (COE), communities of practice, standards bodies, and architecture review forums