Enterprise Architect Interview Explained: AI Governance, RAG Security & Life Sciences | Day 11

Enterprise architect interview questions and answers for data governance and AI roles, with model answers for regulated industries such as life sciences. We cover architecture review boards, scoping an AI-ready data foundation, semantic layers, RAG security, LLM evaluation, PHI protection and SDTM vs ADaM. Part of the 30-Day AI & Data Governance Program. What you'll learn: How to answer the opening questions: recent project, tech stack and your architecture role How to show you are hands-on while leading a team of engineers How to run an architecture review board for a regulated client, and what makes its decisions binding (ADRs) How to scope and estimate an AI-ready data foundation with a fixed-fee discovery How to establish entity relations in a semantic layer or ontology, and map context across business domains The six control areas for AI governance in production, and how to stop a RAG system returning documents a user may not see How to evaluate an LLM assistant before go-live with a golden set and release gates Life sciences answers: PII and PHI protection, SDTM vs ADaM and closing a domain gap Tools covered: OpenMetadata, Collibra, Snowflake, Databricks, Unity Catalog Standards covered: HIPAA, GDPR, CDISC Chapters: 0:00 Introduction: enterprise architect interview questions 0:34 Recent project and tech stack 1:16 Architecture role, ADRs and staying hands-on 2:57 Leading a team and still contributing 3:38 Architecture review board for a regulated client 4:25 Scoping an AI-ready data foundation 5:07 Entity relations in a semantic layer or ontology 6:04 Context mapping across business domains 6:32 AI-ready data foundation for life sciences 7:15 AI governance in production: six control areas 7:59 RAG security: stop unauthorized document retrieval 8:30 Evaluating an LLM assistant before go-live 8:54 Life sciences domain experience 9:33 Protecting PII and PHI in an agentic system 10:14 SDTM vs ADaM 10:48 Career walkthrough and closing the domain gap Kapil Rangwani, 21 years in data Connect with me for the live course: WhatsApp +91-8005560262 / 7014418715 Previous classes: Day 1, What Is AI Governance? Responsible AI & Human in the Loop Explained    • What Is AI Governance? Responsible AI & Hu...   Day 2, Informatica Axon & EDC Tutorial for Beginners: Data Governance for AI    • Informatica Axon & EDC Tutorial for Beginn...   Day 3, Collibra Tutorial for Beginners: Informatica Axon, EDC & Data Quality Explained    • Collibra Tutorial for Beginners: Informati...   Day 4, Data Governance Framework Explained: Policies, Roles & Data Contracts    • Data Governance Framework Explained: Polic...   Day 5, Informatica EDC and Axon Interview Questions: Axon EDC Integration in 6 Steps    • Informatica EDC and Axon Interview Questio...   Day 6, What Is Metadata? Types of Metadata Explained: Business, Technical & Operational    • What Is Metadata? Types of Metadata Explai...   Day 7, Informatica EDC Data Lineage Explained: Agentic Data Management & Axon Glossary    • Informatica EDC Data Lineage Explained: Ag...   Day 8, Data Governance Career Switch Explained: IT & Banking Pros, Why 2026 Is Your Window    • Data Governance Career Switch Explained: I...   Day 9, Data Governance Course Explained: Tools, Syllabus & AI Governance Roadmap    • Data Governance Course Explained: Tools, S...   Day 10, Reltio MDM Tutorial Explained: Architecture, Match & Merge and Velocity Packs    • Reltio MDM Tutorial Explained: Architectur...   Next: Day 12, coming soon in the playlist below Full playlist:    • 30-Day AI & Data Governance Program   #EnterpriseArchitect #InterviewQuestions #DataGovernance #AIGovernance