It Application Manager Rdu It - Digital Analytics, Governance And Compliance

Alexion Pharmaceuticals

Madrid, Spain

about 1 month ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

www.buscojobs.com.es

Tech stack

A/B Testing Artificial Intelligence Baselining Bioinformatics Information Systems Data Retrieval Decision Support Systems Digital Assets Metadata Systems Integration Management of Software Versions Web Analytics

+6 more

Web Platforms Openapi Multi-Agent Systems Information Technology Data Lineage Data Management

Job description

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 AccountabilitiesDigital 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 platforms,maintaininginterface catalogues, API specifications, release notes, and change records.Scaled delivery and adoption: Coordinate discovery, pilots, controlled rollouts, success measures,adoptionplaybooks, 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, Qualifications,Skillsand ExperienceEssentialBachelor’s 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 analytical,organisational, stakeholder-management, written communication, and documentation skills.Track recordof continuous improvement, curiosity, innovative thinking, and confident delivery through ambiguity and change.DesirableExperience 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.Date Posted06-ago-** Closing Date26-ago-** Alexion is proud to be an Equal Employment Opportunity and Aff…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 status,pregnancy, (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.#J-*****-Ljbffr

Requirements

Bachelor’s 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 analytical,organisational, 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.