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Data Steward The trusted voice your domain's data didn't know it needed How do you make our customers happy? Customer recommendations, business insights, and sophisticated AI models have one thing in common: they are only as good as the underlying data quality. As a Data Steward, you ensure that the data products in your domain are correct, consistent, complete, and compliant. Not after the fact, but before anyone bases reports and decisions on them. You own the governance, quality, metadata, lineage, and semantic definitions across the full product lifecycle. You build the conditions for others, from analysts who rely on KPIs to data scientists who train models and compliance teams that sign off on reports, to do their jobs with confidence. The biggest challenge Data stewardship at bol is transforming. What used to be a fragmented responsibility is becoming a dedicated function with a solid mandate and heartfelt accountability. You're stepping into a role that is still being defined. Yes, standards exist, but not all of them have been stress-tested in practice. Domains have definitions, but they don't always agree with each other. And teams are used to solving governance issues locally. Your challenge isn't just to execute the framework; it's to help us establish how we apply it. You'll need to introduce structure without bureaucracy, enforce standards without becoming a bottleneck, and build trust across teams that haven't worked with a dedicated steward before. Let alone someone as dedicated as you. What you'll do as a Data Steward Bol is quickly transitioning from decentralized, part-time data governance to dedicated, product-centric stewardship - and you're joining as we implement this ambition. You'll be embedded in one or more domains as the single point of contact for questions relating to governance, quality, and semantics. You operate within a federated model: close to data product teams that are aligned through the Data Product Management & Governance function. Whereas more junior stewards execute policy within established guidelines, you interpret and shape how those guidelines are applied. And where improvements are called for. That makes for a role that calls for tooling mastery (SQL, DataHub/DataPlex for cataloging and lineage, BigQuery and dbt for data products, and JIRA for tracking issues), coupled with the ability to coach and inspire less experienced colleagues. Own data governance, quality, metadata, and lineage for data products across their full lifecycle (discover → design → build → publish → operate → sunset Define domain-specific data quality rules (completeness, validity, consistency, timeliness, uniqueness) and review automated test results, coordinating root cause analysis and structural remediation where needed Maintain and validate data contracts: schemas, business rules, semantics, privacy classifications, and access controls Develop and maintain domain-level semantic models - harmonizing KPI and data definitions with other domains through the Steward Council Validate lineage from source to informative data product, ensuring transformations, schema mappings, and change impacts are documented and understood Proactively identify governance gaps, anticipate downstream effects of changes, and propose improvements before issues escalate Coach and review the work of more junior data stewards, ensuring consistency and quality of execution within the team Represent your domain in cross-domain governance discussions, bringing both authority and pragmatism Why you can make a difference You have advanced expertise in data governance, quality frameworks, metadata management, and semantic modeling. And you know how to apply it in practice, not just in theory. You're comfortable navigating ambiguity: interpreting standards where they're unclear, escalating when needed, and representing your domain with authority in cross-domain discussions. Your