At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche. The Opportunity: The Data and Analytics Governance (DAG) Data Steward is a key role responsible for ensuring the quality, integrity, and proper usage of data, and enabling effective data & analytics governance practices for Roche’s Digital Backbone; working closely with cross-functional teams in ASPIRE program, Roche Data Insights (RDI) Initiative, Informatics, Enterprise Master Data Management (EMDM) to ensure the consistent application of DAG policies, standards, and controls. Key Responsibilities: {li} Metadata Management & Stewardship Ensure the accuracy, consistency, and completeness of business and technical metadata across systems, platforms in the Finance Data Domain. {li} Maintain and enhance metadata repositories (such as Collibra, SAP Datasphere) to support data discovery, lineage, and understanding. {li} Data & Analytics Governance Framework and Methodology Alignment Support the implementation and adherence to Data & Analytics Governance Framework. {li} Act as a liaison between business and IT teams to ensure metadata practices align with DAG Metatadata Methodology. {li} Metadata Cataloging & Standardization Collaborate with data product owners, report owners, data owners and subject matter experts to define, document, and manage metadata catalog. {li} Promote consistency and standardization of business terms and reference data definitions across the Finance Data Domain. {li} Data Lineage & Impact Analysis Establish and maintain end - to - end data lineage to enable traceability, impact assessment, and regulatory compliance. {li} Identify and resolve metadata gaps that may hinder data quality, trust, or decision-making. {li} Stakeholder Engagement & Enablement Partner with business and IT teams to drive metadata awareness, adoption, and literacy. {li} Facilitate training, workshops, and knowledge sharing on metadata tools, processes, and value. {li} Quality Monitoring & Continuous Improvement Monitor key metadata quality metrics; identify and address issues proactively. {li} Continuously refine metadata management processes in line with evolving business needs, technological advancements, and industry best practices. {li} Tooling & Automation Support Contribute to the optimization of metadata management tools and automation capabilities - metadata augmentation with AI. {li} Support integration of metadata with broader Data & Analytics platforms and AI - driven insights.
Lūdzu, ievadi savu jautājumu. Kad darba devējs atbildēs uz Tavu jautājumu, atlbilde parādīsies pie darba sludinājuma. CVMarket.lv apmeklētāji neredzēs Tavu e-pasta adresi.
CVMarket.lv pievienos linku uz izvēlēto darba sludinājumu e-pasta apakšā.