Senior Specialist, Business Strategy and Portfolio

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 its 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 repeatableultimately 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 andAIenabled workflows.

• AIenabled decision support:Integrate AI tools into delivery to improve speedtoinsight consistency and scalability while maintaining governance and quality.

• Power BI excellence:Design and deliver governed semantic models and Power BI solutions that prioritizeuser experience accessibility performance and maintainabilityaugmenting with AIassisted content generation where appropriate.

• From question to recommendation:Translate complex requirements into structured analyses andexecutiveready 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 controlcovering both conventional andAIenabledprocesses.

• Data readiness and modeling:Guide data collection and preprocessing across databases APIs and files; ensure readiness and alignment for governed semantic layers leveragingAIassisted data quality checkswhere appropriate.

• Adoption and value realization:Drive utilization of decision support products through training enablement and proactive engagement; measure impact using adoption satisfaction anddecisioncycle time.

• Coaching and community building:Coach specialists on delivery excellence responsible AI use and stakeholdercentered analytic practices; help foster abusinessembedded analyticscommunity.

• Communication and influence:Present work to principals and crossfunctional stakeholders; tailor content for decision forums ensuring clarity traceability and responsible use ofAIgenerated components.

• Stakeholderfacing analytics consulting:Proven experience partnering with senior stakeholders to cocreate refine and deliver analytics that directly supportstrategic decision makingframing questions testing hypotheses and guiding recommendations.

• AIenabled analytics delivery:Handson experience applying AI tools to accelerate insight with strong judgment onquality ethics and governance.

• Power BI and semantic modeling:Expert knowledge of Power BI and BI applications includinggoverned semantic modeling DAX performance optimization andUX/UI designfor scalable decision support.

• Advanced communication:Exceptional written and verbal communication skills with the ability to explaintradeoffs limitations and recommendations clearly to executive audiences; adept at producingexecutiveready narratives.

• Complex analytic delivery:Demonstrated success delivering complex analyses and decision support products in business or scientific domains balancingspeedtoinsightwith rigor and reproducibility.

• Adoption and enablement:Experience coordinating with enabling functions and stakeholders to drive adoption training andmeasurable value realizationof 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 lifecyclemodel monitoring and change management.

• Responsible AI practices:Knowledge of AI risk management prompt hygiene bias and explainability considerations and controls forcontent provenanceand validation.

When we put unexpected teams in the same room we unleash bold thinking with the power to inspire life-changing -person working gives us the platform we need to connect work at pace and challenge perceptions. Thats why we work on average a minimum of three days per week from the office. But that doesnt mean were 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 impactfaster 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 developmentso 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

Closing Date

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.