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Redcare Pharmacy is building a robust Data & AI Governance function to govern data across its lifecycle. The role focuses on enriching the data catalog, implementing governance controls, and collaborating with data engineers and business stakeholders to balance innovation with risk management.
You will work in a distributed, mostly remote setup, leveraging Purview, Databricks, and the Azure ecosystem, with strong emphasis on automation and data quality.
As Europe’s No.1 e-pharmacy Redcare Pharmacy is powered by passionate teams and cutting-edge innovation. We strive to create a healthy collaborative work environment where every employee feels valued and inspired to contribute to our vision “Until every human has their health”. If you’re seeking a career that offers purpose and aligns with your values join us and start your #Redcareer today.
What data do we have? How sensitive and critical is it? Who owns it, and who knows it best? Who can access it, who actually does, and why? These fundamental questions are often surprisingly complex in practice. As part of our Data & AI Governance team, you'll help shape how Redcare Pharmacy governs data throughout its lifecycle, making it easier to discover, understand, and use responsibly. You'll play an active role in managing our data catalog and our service desk, helping teams navigate governance requirements and adopt practical solutions that balance innovation with effective risk management. You will work in a modern Data & AI environment where hands-on experience with Databricks, Purview, and the Azure ecosystem is a strong plus. Experience with Python and SQL will be valuable for identifying automation opportunities and further optimizing our governance processes. Shape and strengthen our data governance practices: Implement governance controls and enrich our data catalog by improving data classification, data quality, access to data products, and data lineage, while maintaining clear records of data owners and stewards. Make governance smarter through automation: Identify opportunities to optimize processes and implement automations that make governance more efficient, scalable, and user-friendly. Turn governance into everyday practice: Partner with data and AI engineers and business stakeholders across the organization to develop practical governance solutions that become a natural part of our daily workflows. Strengthen transparency and auditability: Collaborate with Governance, Risk & Compliance experts to continuously improve our end-to-end audit trail and ensure our data-related processes are transparent and traceable.