Global IT Data Architect Senior Manager

These GenAI capabilities are optional / preferred and are captured separately from the core Data Architect requirements above.

Hands-on experience designing, evaluating, or supporting GenAI / LLM-enabled solutions, including proofs of concept and production-oriented architecture patterns.

Understanding of Agentic AI concepts, multi-step orchestration, tool-using AI agents, and human-in-the-loop design considerations.

Experience with retrieval architectures such as RAG, GraphRAG, hybrid search, semantic search, and context-grounding approaches for enterprise use cases.

Familiarity with vector databases, knowledge graphs, metadata-rich knowledge stores, and enterprise knowledge base design for AI applications.

Exposure to AI application frameworks and orchestration tools such as LangChain and LangGraph.

Awareness of agent-to-agent interaction patterns, A2A concepts, model context management (MCP), and emerging interoperability standards such as MCP.

Experience evaluating data readiness for GenAI use cases, including chunking strategy, retrieval quality, data lineage, access controls, and content governance.

Understanding of prompt design, evaluation approaches, observability, guardrails, safety, and responsible AI controls in enterprise environments.

Ability to partner with product, engineering, architecture, and governance teams to shape scalable GenAI-enabled data products and platforms.

Who You'll Work With

Global functional portfolio technical leaders (Finance, HR, Marketing, Legal, Risk, IT), product owners, functional area teams across levels.

Global Data portfolio Management & teams (Enterprise Data Model, Data Catalog, Master Data Management).

Consulting and internal Data Tribe teams across BCG.

Additional info