IT Application Manager RDU IT Digital Analytics, Governance and Compliance

Location:Barcelona Hybrid working: three days per week in the office and two days from home

This role supports the delivery governance and continuous improvement of enterprise digital analytics and AI-enabled capabilities across AstraZeneca and Alexion. Working with business IT data legal medical regulatory and external partners the role translates strategic priorities into scalable services robust controls and measurable outcomes. It applies responsible AI and supervised agentic enhancements to create a flexible resilient and demand-driven analytics operating model.

Typical Accountabilities

• Digital asset governance:Run day-to-day governance for website content data lineage taxonomy tagging metrics metadata approvals versioning reuse and lifecycle management ensuring regional compliance and consistent data quality.

• Strategy execution:Partner with business and IT stakeholders to translate enterprise web digital analytics and AI strategy intoprioritisedroadmaps delivery plans trackers and decision-ready documentation.

• Compliance by design:Embed privacy regulatory promotional security transparency consent and auditability controls into reusable workflows templates checklists and delivery standards.

• Responsible AI governance:Administer guardrails and review workflows for models prompts datasets and vendors including risk classification human oversight monitoring approval evidence and audit readiness.

• AI-enabled digital analytics:Use approved AI copilots and generative AI tools to accelerate discovery analysis reporting experimentation and decision support while protecting sensitive information and validating outputs.

• Agentic analytics enablement:Identify design pilot and scale supervised agentic workflows for data retrieval quality checks analysis insight generation and stakeholder-ready outputs with defined goals approval points exception handling audit trails and fallback procedures.

• Demand-driven process improvement:Identifybottlenecks and unmet business needs redesign workflows through automation and reusable services and dynamicallyprioritisecapacity to improve speed quality resilience cost and user experience.

• Platform integration:Coordinate AI-enhanced capabilities across CRM MLR/PRC DAM analytics/BI CDP and field platformsmaintaininginterface catalogues API specifications release notes and change records.

• Scaled delivery and adoption:Coordinate discovery pilots controlled rollouts success measuresadoptionplaybooks quarterly business reviews training and change communications.

• Vendor and partner management:Maintainscorecards service levels performance indicators compliance and security evidence governance reviews and remediation actions aligned with strategic priorities.

• Data stewardship:Operateconsent identity metadata access-control catalogue quality and regional data-sovereignty processes including approval gates for AI use.

• Operational excellence:Maintainportfolio budget benefits quality compliance and service dashboards; manage issue registers telemetry escalations and resolution through measurable outcomes.

• Audit readiness and enablement:Maintainpolicies procedures model documentation test results approvals and traceability; deliver onboarding guidance office hours and feedback loops for safe and effective adoption.

Education QualificationsSkillsand Experience

Essential

• Bachelors degree or equivalent experience in business information systems computer science data analytics ora relateddiscipline.

• Relevant experience in digital solution delivery analytics operations governance orprogrammedelivery within a regulated globalorganisation.

• Demonstrated use of approved AI tools to improve individual and team productivity including effective prompting reusable workflows output validation information protection and responsible adoption.

• Practical understanding of agent orchestration tool and API integration workflow state evaluation observability exception management and human-in-the-loop controls.

• Experience translating business demand intoprioritisedanalytics improvements and measurable outcomes.

• Knowledge of privacy data protection compliance-by-design audit and data-governance practices.

• Working knowledge of digital platforms such as CRM DAM MLR/PRC analytics/BI and CDP including interfaces and release coordination.

• Strong analyticalorganisational stakeholder-management written communication and documentation skills.

• Track recordof continuous improvement curiosity innovative thinking and confident delivery through ambiguity and change.

Desirable

• Experience in pharmaceutical healthcare oranotherhighly regulated industry.

• Certifications or formal learning in AI governance privacy compliance analytics project management or process improvement.

• Experience with model and prompt lifecycle management monitoring drift and bias controls model documentation and responsible AI oversight.

• Experience managing vendors service levels performance indicators third-party risk and remediation plans.

• Experience with experiment design baselining A/B testing adoption measurement and benefitsrealisation.

• Experience creating procedures templates controls training andadoptionmaterials for global teams.