Position Details
About this role
Lead the strategy, development, and lifecycle management of enterprise data and analytics platforms. You will also drive automation using RPA and Agentic AI, and oversee a cloud-based Data Operations and Contextualization capability powered by knowledge graphs.
Key Responsibilities
- Lead the strategy and lifecycle management of enterprise data and analytics platform data products
- Translate business priorities into scalable platform capabilities for advanced analytics, reporting, and AI/ML
- Design and implement RPA and Agentic AI solutions for workflow automation with compliance
- Manage cloud-based Data Operations and Contextualization platform using knowledge graph databases
- Oversee deployment, monitoring, and evolution of AI/ML components (truncated)
Technical Overview
Own governance and evolution of cloud data platforms including Azure Synapse, MS Purview, Power BI, Databricks, and Cognite. Design and implement RPA and Agentic AI automation, and use knowledge graph databases to contextualize industrial data for real-time insights and advanced analytics.
Ideal Candidate
The ideal candidate is an experienced IT Manager or Data Platforms Manager who can lead enterprise data and analytics platform strategy, governance, and evolution. They bring hands-on expertise with modern cloud-based data platforms (Azure Synapse, MS Purview, Power BI, Databricks, Cognite) and can drive RPA and Agentic AI automation, including knowledge-graph-based contextualization for real-time insights.
Must-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Must demonstrate leadership managing enterprise data and analytics platforms, Must have experience with cloud-based data platforms such as Azure Synapse and Databricks, Must have experience with RPA and Agentic AI solutions
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