Associate Director, Business Process Engineer

<p><b>Location: Barcelona, Spain (On-site) / 3 days working from the office.</b></p><p></p><p><b><span>About the </span><span>D</span><span>epartment</span></b><span> </span></p><p><span><span>Sustainable, FAIR (Findable, Accessible, Interoperable &amp; Reusable) data is integral to AstraZeneca's mission as a science-driven pharmaceutical company, serving as a cornerstone for the corporate strategy. The incorporation of Data, AI, and Digital technologies is a foundational value driver for innovative science and a potential differentiator in the corporate landscape.</span></span><span> </span></p><p><span><span>AstraZeneca’s R&amp;D Data Office is at the forefront of enabling data and AI strategies. It provides comprehensive data services, technology solutions, and data products, underpinned by robust data and AI policy and governance, to extract value from data that propels innovative scientific discovery.</span></span><span> </span></p><p><span><span>Focused on </span><span>impacting</span><span> the R&amp;D pipeline, the Data Office emphasizes three core areas: advancing data and AI-powered scientific innovation, connecting a digitized R&amp;D value chain, and pioneering best practices in data and AI governance. </span></span><span> </span></p><p></p><p><b><span>The Position</span></b><span> </span></p><p><span><span>The Business Process Engineer will be an integral part of</span><span> Data Office’s Solution Delivery &amp; Transformation team,</span><span> tasked with</span><span> upscaling and improving</span><span> R&amp;D’s data sharing </span><span>ecosystem</span><span> and delivery of </span><span>data services</span><span>. This ecosystem </span><span>facilitates</span><span> efficient and compliant sharing of data within and beyond AstraZeneca to empower the innovative science driving R&amp;D drug development</span><span>.</span><span> A core part of this ecosystem </span><span>are business processes that are being</span><span> reimagined to achieve greater speed, user experience, </span><span>simplicity</span><span> and scale</span><span>. </span><span>This will include</span><span> a shift from manual</span><span>,</span><span> to automat</span><span>ed</span><span> </span><span>and</span><span> AI-enabled </span><span>processing</span><span> and </span><span>will</span><span> cover </span><span>both </span><span>‘back-office’ processes associated to </span><span>data </span><span>management, </span><span>governance, creation of AI and analytics-ready data, </span><span>and </span><span>also</span><span> </span><span>‘front office’ </span><span>processes that data consumers (e.g. data scientists) </span><span>require.</span></span><span> </span></p><p><span><span>The Business Process Engineer is crucial to </span><span>the </span><span>development of </span><span>high-quality processes. </span><span>This position will </span><span>suit</span><span> highly collaborative</span><span>,</span><span> </span><span>technically </span><span>skilled</span><span> </span><span>and </span><span>subject matter experts, capable of </span><span>indepe</span><span>ndently planning </span><span>and </span><span>taking a lead on </span><span>business process improvement</span><span> projects</span><span>. </span><span>Day-to-day, this will involve understanding business requirements, </span><span>working collaboratively to </span><span>analys</span><span>e</span><span> and deliver</span><span> </span><span>new</span><span>ly proposed</span><span> data </span><span>and</span><span> </span><span>business process flows</span><span> </span><span>and </span><span>supporting project teams to </span><span>reach </span><span>agreements that can take proposals to production</span><span>.</span></span><span> </span></p><p></p><p><b><span>The</span><span> Impact</span></b><span> </span></p><p><span><span>As an essential role</span><span> </span><span>within our transformation team</span><span>, the Business Process Engineer</span><span> will </span><span>directly support the introduction of </span><span>a data sharing ecosystem that</span><span> </span><span>can</span><span> harness the full potential data </span><span>to meet the increasing demands of a</span><span> rapidly evolving AI</span><span>-enabled </span><span>landscape</span><span> central to the continued successful speed of scientific innovation and delivery of the</span></span><span> </span></p><p><span> </span></p><p><b><span>Typical </span><span>Accountabilities</span></b><span> </span></p><ul><li><p><span><span>Analyse</span><span> and evaluate </span><span>current processes to </span><span>identify</span><span> inefficiencies, gaps, and opportunities for improvement.</span></span><span> </span></p></li></ul><ul><li><p><span><span>Design and document new processes, ensuring alignment with organizational goals and compliance standards.</span></span><span> </span></p></li></ul><ul><li><p><span><span>Collaborate with </span><span>cross-functional stakeholders