Key Responsibilities:
1. Enterprise BI Architecture & Modernization:
- Own end-to-end architecture for enterprise BI and AI-enabled analytics platforms across Power BI, Tableau, Microsoft Fabric, Snowflake, Databricks, Azure / AWS, and modern lakehouse ecosystems.
- Design governed semantic models, KPI layers, reusable data products, access controls, performance patterns, and deployment standards for scalable BI delivery.
- Modernize legacy reporting estates into AI-ready, decision-centric analytics platforms with strong governance, adoption, and business value focus.

2. GenAI, Agentic AI & AI Application Architecture:
- Architect GenAI and Agentic AI solutions using LLMs, RAG pipelines, vector search, knowledge graphs, prompt engineering, model evaluation, orchestration, and responsible AI guardrails.

3. Hands-on Solutioning, Prototyping & Delivery Enablement:
- Create architecture blueprints, solution designs, reusable accelerators, POCs, MVPs, and demo assets for BI, GenBI, and Agentic AI use cases.
- Work closely with business, data engineering, AI engineering, UX, security,



delivery, and product teams to convert use cases into reliable and governed solutions.
- Ensure AI solutions are secure, explainable, observable, compliant, and aligned with enterprise privacy, access, lineage, and audit requirements.

4. Pharma Analytics, Business Context & AI Use Case Translation:
- Translate business problems into BI, GenAI, and Agentic AI opportunities with clear value linkage across productivity, speed-to-insight, adoption, and decision quality.
- Shape use cases such as field insight assistants, market access copilots, brand performance advisors, HCP / customer intelligence copilots, launch planning agents, and narrative insight generators.

5. Client Advisory, Executive Communication & Thought Leadership:
- Engage senior business, data, digital, IT, analytics, and AI stakeholders to shape roadmaps, architecture direction, solution trade-offs, and adoption plans.
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📌 Gen BI Director (C)
🏢 Axtria
📍 C