• Agile IT Delivery Lead owns technical delivery of data product teams is responsible for design and scaling, roadmap prioritization and strategic planning.
• Act as 'coleader' with business domain owners
• Analyzing business development and identifying and evaluating potential for optimization in terms of costs, efficiency and effectiveness
• Developing and implementing strategies for efficient steering of entrusted portfolio segment, defining rules, standards and work processes with high-level effect
• Monitoring markets, identifying trends and developing analysis withing the scope of the entrusted segment.
• Steering the operationalization and implementation of strategic business initiatives and programs
• Managing governance, compliance, and return on investment (ROI) for a delivery segment
• Accountable for building data products using the unified data platform (not building the platform itself) and leveraging the Unified Data Product Journey to guarantee consistency and quality across domains and segments.
• Own the end-to-end lifecycle of domain data products, including design, development, operationalization, evolution, and retirement.
• Define and enforce domain-level data product standards, ensuring compliance with enterprise data governance, interoperability, and quality requirements.
• Accountable for technical delivery (data ingestion, data pipelines, data transformations, APIs, and overall data engineering process) implementation within domain
• Accountable for Operational reliability and stability of domain data products (meeting agreed upon Service Level Objectives per Data Product)
• Clear communication of technical decisions, risks, and dependencies to management
• Establishment and continuous improvement of release, operations, quality, and engineering processes
• Manage domain-level technical debt and architectural evolution, balancing delivery speed with long-term maintainability and scalability.
Requirements:
• Strong expertise in Data Product architecture and domain-oriented data product design.
• Proven experience building and operating scalable data products on modern cloud-based data platforms.
• Deep understanding of data engineering practices, including data ingestion, pipelines, transformations, and API-based data access.
• Ability to ensure operational stability, reliability and quality of data products through SLOs, monitoring, and observability.
• Strong understanding of Data Product Management, including defining product value, consumers, and service levels.
• Ability to translate business priorities into domain data products aligned with measurable business outcomes.
• Experience working within federated data operating models and domain-based data ownership.
• Ability to ensure interoperability, standardization, and reuse of data products across domains.
• Experience managing cross-domain dependencies and prioritization within a Data Mesh environment.
• Proven leadership experience managing data engineering.
