Data Technical Product Owner EMEA

Role Summary

We are seeking an experienced Technical Product Owner (PO) to be part of the ESI Data Analytics portfolio. This role will bridge business and technology teams, driving the delivery of scalable, governed analytics solutions using Databricks and Power BI. The ideal candidate will excel in stakeholder management, requirement translation, agile delivery, and ensuring adherence to enterprise data governance and architecture standards.

Key Responsibilities

• Own and prioritize the ESI Service Data Analytics backlog and roadmap.
• Engage with business stakeholders across EMEA to gather, refine, and prioritize requirements.
• Translate business requirements into user stories, acceptance criteria, and technical specifications.
• Partner with Data Engineering, BI, Architecture, and Governance teams to deliver high-quality solutions.
• Drive delivery of analytics and reporting solutions using Databricks and Power BI.
• Ensure compliance with EMEA data governance, GDPR, security, and organizational standards.
• Manage dependencies, risks, releases, UAT, and stakeholder communications.
• Champion data quality, governance, and adoption of analytics solutions.
• Identify opportunities to leverage GenAI-enabled analytics capabilities.

Required Skills & Experience

• 8-12 years of experience in Data & Analytics, Product Ownership, Business Analysis, or similar roles.
• Strong expertise in:
• Databricks (Delta Lake, Unity Catalog, Lakehouse Architecture)
• Power BI (Semantic Models, DAX, RLS, Enterprise Reporting)
• Agile/Scrum delivery methodologies
• Strong understanding of:
• EMEA Data Governance
• GDPR and data privacy requirements
• Data quality, lineage, and metadata management
• Azure data and analytics ecosystem
• Proven experience managing senior business stakeholders and cross-functional teams across geographies.

Preferred Skills

• Microsoft Fabric
• Microsoft Purview
• Azure Data Factory
• DataOps/MLOps practices
• Databricks or Azure certifications

GenAI Analytics (Preferred)

Exposure to:

• AI-assisted reporting and dashboard generation
• Natural language querying and conversational analytics
• Copilot-enabled BI solutions
• RAG-based knowledge discovery
• Responsible AI, governance, and security controls

Success Profile

The ideal candidate combines strong Databricks and Power BI expertise, deep understanding of EMEA data governance, excellent stakeholder management, and the ability to translate business needs into actionable development plans while ensuring delivery of scalable, compliant, and enterprise-standard analytics solutions.

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