Barcelona, Catalonia, Spain
Business Analyst at AstraZeneca with experience spanning UX, innovation, project management, and business analysis across global IT and data teams. Focused on unlocking the value of data to drive better business decisions, improve processes, and enhance user and customer experience to ultimately enable science and patient impact. I bring a cross-functional approach to connecting data, technology, and people, turning complex needs into practical, value-driven solutions aligned to strategic goals. Strong interest in data, AI, and digital transformation, particularly where better data foundations enable smarter decisions and stronger outcomes. I'm passionate about widening access to STEM and improving social mobility, with a particular focus on women in tech and people from underrepresented backgrounds.
- Supported the delivery of AI initiatives in R&D IT, translating complex business needs into structured requirements and actionable delivery plans. - Developed requirements backlogs and User Requirements Specifications (URS) for GxP validation of AI models, aligning delivery with AI governance frameworks and regulated environment requirements. - Built relationships with 20+ stakeholders across IT and R&D, bridging AI scientists, engineers, architects, testers, quality managers, and business users to support agile AI model development. - Analyse as-is business processes, systems, and data flows in R&D Biometrics to identify opportunities for AI-driven optimisation, efficiency gains, and future-state improvements. - Created process maps and visual models to communicate workflows, system interactions, and AI-enabled opportunities across technical and non-technical stakeholders. - Contributed to KPIs, success metrics, and project prioritisation for the AI Technology Enablement team, using Airfocus to support delivery aligned to scorecard goals. - Supported strategic analysis of early drug discovery capabilities, facilitating workshops to identify and prioritise gaps across the annual roadmap.