Introduction to role:

This role is based inBarcelona with an on-site commitment of three days a week. Fluency inEnglishis required.

Are you ready to build AI-ready data products that power breakthrough insights for people living with rare and devastating diseases Can you translate high-value AI use cases into governed interoperable datasets that scientists clinicians and business leaders trust to make faster better decisions

In this role you will lead the creation and growth of AI-ready data products and a data marketplace that directly enable responsible AI advanced analytics and real-world evidence generation. You will connect enterprise standards to practical delivery ensuring data is compliant reliable and engineered for models that matter. Your work will accelerate how we identify opportunities reduce risk and advance accessturning complex data into meaningful outcomes for under-served patients and the teams supporting them.

Accountabilities:

• AI Ready Data Products Leadership: Lead the development and ongoing management of AI-ready data products and a data marketplace that support strategic objectives and deliver sustained value.

• FAIR and Responsible AI Execution: Operationalize FAIR principles model risk management and responsible AI requirements across the data lifecycle.

• Regulatory and Governance Compliance: Ensure data products comply with GDPR HIPAA and internal governance standards from ingestion through consumption.

• AI-Assisted Data Management: Deploy capabilities such as automated metadata extraction schema discovery and semantic tagging to increase speed and consistency.

• AI-Driven Data Quality: Implement services that auto-detect anomalies drift and outliers; trigger self-healing rules; and propose fixes with human-in-the-loop approvals for high-risk changes.

• Use Case Translation: Convert priority AI use cases into data requirements delivery roadmaps and acceptance criteria for AI-ready datasets feature stores and knowledge graphs.

• Cross-Functional Collaboration: Partner with enterprise governance function-specific data teams IT business partners capability leads and business stakeholders to collect requirements and maximize value.

• Semantic Enablement: Champion ontologies controlled vocabularies and knowledge graphs to enable interoperable context-rich data consumable by LLMs and graph-enabled analytics.

• Enterprise Data Strategy Support: Contribute to the broader strategy for AI-ready data data governance and reference/master data management.

• Conceptual Modeling: Assure delivery of conceptual data models optimized for AI consumption including feature schemas ontology mappings and metadata necessary for model reproducibility aligned with the enterprise data model and future AI-ready capabilities.

• Risk Management: Identify and mitigate risks related to data security access and continuity as products mature and usage patterns evolve.

• Performance and Insights: Monitor usage performance and KPIs of mature data products; provide clear reporting and actionable insights to leadership and stakeholders.

• Adoption and Enablement: Drive end-user satisfaction through training documentation and support; communicate updates changes and value propositions effectively.

• Stakeholder Engagement: Present plans progress and outcomes to senior management and key stakeholders with clarity and confidence.

• Team Leadership: Mentor data management professionals; foster a culture of innovation continuous improvement and professional growth.

Essential Skills/Experience:

• Bachelors or Masters degree in Data Science Information Management Computer Science or related field.

• Extensive experience (typically 7 years) in Data Management Data Products Data Quality and Metadata Management with at least 3 years in a leadership role.

• Hands-on experience with DataOps platforms such as Collibra and cloud-based data integration technologies.

• Strong leadership problem-solving and communication skills with the ability to translate technical concepts for non-technical audiences.

• Awareness of principles related to building AI-ready data foundations.

• Experience in operationalizing FAIR data principles and responsible AI requirements across data pipelines.

• Prior experience delivering AI-ready data capabilities in biopharma or healthcare enabling use cases across R&D clinical pharmacovigilance medical and commercial.

• Experience with standards and ontologies relevant to life sciences and healthcare.

• Knowledge of biotechnology or pharmaceutical industry data needs.

• Demonstrated knowledge of product management processes.

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.

At AstraZeneca youll find an environment where innovation thrives! Our commitment to patients drives us to push boundaries and redefine possibilities. Here you can enjoy the entrepreneurial spirit of a leading biotech combined with the resources of a global pharma. We empower our employees to take ownership of their careers while making a meaningful impact on patients lives. Join us in our mission to change lives for the better.

Ready to embark on this exciting journey Apply now to become part of our dynamic team!

Date Posted

Closing Date

Alexion is proud to be an Equal Employment Opportunity and Affirmative Action employer. We are committed to fostering a culture of belonging where every single person can belong because of their uniqueness. The Company will not make decisions about employment training compensation promotion and other terms and conditions of employment based on race color religion creed or lackthereof sex sexualorientation age ancestry national origin ethnicity citizenship status marital statuspregnancy (including childbirth breastfeeding or related medical conditions) parental status (including adoption or surrogacy) military status protected veteran status disability medical condition gender identity or expression genetic information mental illness or other characteristics protected by law. Alexion provides reasonable accommodations to meet the needs of candidates and employees. To begin aninteractive dialogue with Alexion regarding an accommodation please contact . Alexion participates in E-Verify.