Define and drive enterprise Data Explorer architecture for data exchange.
Set vision and principles for data exchange; metadata, lineage, access controls.
Be senior technical authority for data analyst agents in the analytics ecosystem.
Lead data solutions for analytics, workflows, sharing, and agent analytics.
Drive reusable architecture for cross-domain workflow orchestration.
Own BI roadmap; rationalize reporting ecosystem and reduce fragmentation.

🎯 Requirements

Bachelor’s degree in CS/Engineering or related field; advanced degree preferred.
10+ years in data platforms, analytics, or enterprise architecture; senior leader.
Strong SQL and Python; broad fluency across analytics platforms and data integration.
Experience with enterprise data exchange, governance, lineage, and access controls.
Expertise in AI-enabled analytics and agentic systems; governed, explainable analytics.
BI modernization and platform consolidation with KPI harmonization.

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