You’ll work within a domain-embedded cross-functional data team as part of bol’s new DA&AI operating model. Together with Data Engineers, Data Stewards, Product Analysts, and Data Scientists, you’ll own and evolve data products that serve multiple consumers and applications across bol, ranging from analytics teams to ML/AI pipelines and third-party tools. Your role spans strategy, delivery, and governance. Often in the same discussion. While the nature of the role is strategic, the aim is to help finding the best products to build through good product discovery work. Here, BigQuery, dbt, and the Data Product Catalogue linked to bol’s ML Ops platform are your tools of choice. Your initial focus? Analytical-layer data products, with future expansion into operational data products, including stock allocation, supplier orders, and employee data. Your responsibilities:
- Define and maintain the long-term vision and roadmap for source and consolidated data products within your domain
- Design data products with clear input ports, processing logic, and output ports, applying Domain-Driven Design for boundaries and ownership
- Implement data contracts that formalize agreements between producers and consumers regarding ownership, SLAs, quality standards, and documentation
- Prioritize features, quality improvements, and tech debt based on value and business needs
- Collaborate with Data Engineers and Scientists to coordinate delivery and evolve products, informed by actual usage and feedback
- Ensure data products meet enterprise quality standards and compliance requirements, working closely with Data Stewards on governance execution
- Monitor product adoption, quality metrics, reliability, and consumer satisfaction – driving continuous improvement through feedback loops
- Act as product ambassador: onboard teams, facilitate self-service access, and represent your data products in cross-domain forums
