Job ID R-253161
Date posted 05/28/2026
This role is based in Barcelona, with an on-site commitment of three days a week. Fluency in English is required.
Are you ready to turn complex operational data into clear choices that accelerate how we deliver life-changing medicines to patients? Do you thrive at the intersection of business judgment, analytical rigor, and emerging AI capabilities to help leaders act with confidence? In this role, you will connect strategy with execution by delivering timely, decision-ready insight at the point it’s needed. You will partner with senior leaders to shape the question, apply modern analytics and AI-enabled decision support, and translate complexity into practical recommendations that move our pipeline forward. Your work will shorten the path from question to answer and scale what works across key operational and portfolio decisions.
You will join a high-impact team focused on raising the quality and speed of decision making across clinical development. By combining stakeholder consultation, robust data standards, and compelling user-centered analytics, you will help ensure our most critical decisions are informed, transparent, and repeatable—ultimately advancing medicines to patients faster.
Stakeholder decision partnership: Engage directly with business leaders to identify the decision at hand, shape hypotheses, and co-create analytic approaches that answer the right questions, using both traditional analytics and AI‑enabled workflows.
AI‑enabled decision support: Integrate AI tools into delivery to improve speed‑to‑insight, consistency, and scalability while maintaining governance and quality.
Power BI excellence: Design and deliver governed semantic models and Power BI solutions that prioritize user experience, accessibility, performance, and maintainability—augmenting with AI‑assisted content generation where appropriate.
From question to recommendation: Translate complex requirements into structured analyses and executive‑ready narratives, documenting assumptions, limitations, and recommended actions; adapt content in real time based on stakeholder feedback.
Standards and governance: Establish and enforce standards for exploratory and descriptive analytics, UX/UI, documentation, versioning, accessibility, performance, and change control—covering both conventional and AI‑enabled processes.
Data readiness and modeling: Guide data collection and preprocessing across databases, APIs, and files; ensure readiness and alignment for governed semantic layers, leveraging AI‑assisted data quality checks where appropriate.
Adoption and value realization: Drive utilization of decision support products through training, enablement, and proactive engagement; measure impact using adoption, satisfaction, and decision‑cycle time.
Coaching and community building: Coach specialists on delivery excellence, responsible AI use, and stakeholder‑centered analytic practices; help foster a business‑embedded analytics community.
Communication and influence: Present work to principals and cross‑functional stakeholders; tailor content for decision forums, ensuring clarity, traceability, and responsible use of AI‑generated components.
Stakeholder‑facing analytics consulting: Proven experience partnering with senior stakeholders to co‑create, refine, and deliver analytics that directly support strategic decision making—framing questions, testing hypotheses, and guiding recommendations.
AI‑enabled analytics delivery: Hands‑on experience applying AI tools to accelerate insight with strong judgment on quality, ethics, and governance.
Power BI and semantic modeling: Expert knowledge of Power BI and BI applications, including governed semantic modeling, DAX, performance optimization, and UX/UI design for scalable decision support.
Advanced communication: Exceptional written and verbal communication skills with the ability to explain trade‑offs, limitations, and recommendations clearly to executive audiences; adept at producing executive‑ready narratives.
Complex analytic delivery: Demonstrated success delivering complex analyses and decision support products in business or scientific domains, balancing speed‑to‑insight with rigor and reproducibility.
Adoption and enablement: Experience coordinating with enabling functions and stakeholders to drive adoption, training, and measurable value realization of analytics and decision support products.
Data and engineering foundations: Familiarity with database systems (SQL), ETL pipelines, cloud environments, and engineering practices (reproducibility, version control).
Agile and governance: Experience working in Agile delivery environments and exposure to governance frameworks for BI/AI product lifecycle, model monitoring, and change management.
Responsible AI practices: Knowledge of AI risk management, prompt hygiene, bias and explainability considerations, and controls for content provenance and validation.
When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
Why AstraZeneca: Here, science meets technology to push boundaries with purpose. We bring together clinicians, data scientists, engineers, and strategists to turn lab insights into real-world impact—faster and more reliably. You will work with cutting-edge analytics and AI in a collaborative environment where curiosity is encouraged, bold decisions are supported, and kindness sits alongside ambition. Your contribution will directly shape how we prioritize, plan, and execute development—so more patients benefit sooner from the medicines they need.
Call to Action: If you are ready to elevate decision making with analytics that drive action and value, step forward and help us shape the next wave of life-changing medicines.
Date Posted
27-may-2026
Closing Date
09-jun-2026
AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.
