Manager, Data & Information Marketplace

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About the role

Location: Warsaw, Poland Hybrid model of work: 3 days in office, 2 remote per week AstraZeneca is investing in data and artificial intelligence to accelerate scientific research, improve decision-making and create meaningful outcomes for patients and society. As part of our Enterprise AI function, the Data & Information Marketplace team helps people—and increasingly AI-enabled tools—discover, access, share and reuse valuable data responsibly. The team operates the processes that make AstraZeneca data available to AZ personas and their use cases, with increasing speed, quality and efficiency. Today, this is primarily achieved through the data provisioning process. As the service evolves, the role is expected to develop from managing individual data requests towards providing greater oversight, optimisation and continuous improvement of an increasingly automated process. This will include less focus on handling each request individually and more focus on managing the policies, controls, workflows and performance measures that enable appropriate automated access to data. The Data Provisioning Operations team plays a central role in this mission. We manage the demand and supply of data across research and business teams, ensuring that data is governed appropriately, meets quality expectations and is prepared for responsible analytical use. As a Data Provisioning Operations Specialist, you will coordinate data provisioning activities from initiation through to completion, while also helping to improve and optimise the wider operating model. You will work with requestors, data owners, governance teams, technical specialists and other partners to ensure that data access is assessed, progressed and delivered effectively. This is an operations, coordination and process-improvement role. You will not be expected to undertake data science or data engineering projects. Instead, you will help create the conditions for scientists, analysts and other colleagues to use data efficiently, while respecting legal, regulatory and ethical requirements. You will also be expected to identify opportunities to use automation and AI to improve your own productivity, enhance team effectiveness and simplify the experience for data users. What you'll do • Operate and optimise data provisioning processes: Coordinate data access activities and improve the speed, quality, consistency and efficiency of the service as it evolves towards greater automation. • Support policy-led and automated access: Assess requirements against governance, privacy and data-sharing standards, and help maintain the policies, controls and workflows that enable appropriate automated access. • Manage stakeholders and exceptions: Support data users, coordinate data owners, governance and technical teams, and focus human intervention on complex requests, risks, dependencies and escalations. • Monitor performance and delivery: Track service activity, identify issues and trends, communicate progress and contribute to reporting on demand, delivery, quality, efficiency and customer experience. • Improve processes and productivity: Identify opportunities to simplify workflows, reduce manual effort and use automation and AI responsibly to improve personal and team productivity. • Maintain operational records and controls: Ensure that requests, decisions, approvals, policies, actions and delivery outcomes are accurately recorded and traceable. • Promote responsible data use: Help ensure data is accessed and shared in accordance with legal, regulatory, contractual and ethical requirements. What you'll bring • Relevant experience: Experience in operations, service delivery, project coordination, process improvement or a similar role, ideally involving complex workflows or multiple stak

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