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Key skills for this role
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.
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.
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Provide technical leadership to BI architects, data engineers, AI engineers, product owners, and delivery teams.
Review solution designs, semantic models, dashboards, RAG patterns, agent workflows, prompt designs, and AI governance controls for quality and scalability.
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Provider of cloud-based software and data analytics for life sciences.
Visit company websiteJobs and hiring trendsFull-time
Senior · 16+ years experience
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