IT Application Manager RDU IT Digital Assets Governance and Compliance

Role based in Barcelona 3 days at the office / 2 days at home

Key Responsibilities

• Digital asset governance operations: Run day-to-day governance processesand proceduresforwebsite assets: including and not limited tocontent data lineage taxonomytagging metricsand lifecycle management; manage approvals versioning and metadata quality to ensure reuse and regional compliance.

• Strategy enablement and execution support:Partnering with Business and IT stakeholders translate enterprise digitalweband AI strategy into actionable delivery plans;maintainroadmaps trackers and documentation to support senior leaders and product owners.

• Compliance-by-design support: Implement andmaintainreusable controls checklists and templates embedding regulatory privacy and promotional compliance (claims content consent transparency auditability) across delivery teams.

• AIweb assetgovernance operations: Administer AI policy guardrails and review workflows for models prompts datasets and vendors; coordinate risk classification human-in-the-loop reviewsmonitoringsetup and evidence capture for audits.

• Platform integration coordination: Support integration of AI-enhanced capabilities with CRM MLR/PRC DAM analytics/BI CDP and field tools; manage interface catalogs API specs and change logs with engineering and data teams.

• Scale delivery support: Coordinate discovery activities pilot readiness and controlled rollouts; prepare success metrics baselines adoption playbooksrun quarterly reviews with business stakeholderstraining materials and change communications.

• Vendor and partner management support:Maintainpartner scorecards SLAs/KPIs and compliance/security artifacts; schedule governance reviews track remediation actions and align delivery cadences with strategic priorities.

• Data stewardship operations:Operateconsent and identity processes enforce data access controls andmonitormetadata standards and regional sovereignty requirements; manage data catalogs and approval gates for AI use.

• Operational excellence andobservability:Maintainportfolio dashboards budgets and benefits realization trackers; build compliance and quality telemetry create issue registers and coordinate escalation and resolution.

• Audit readiness and documentation: Curateevidencerepositories (policies SOPs model cards test results approvals) prepare audit responses and ensure traceability from requirements to release.

• Enablement and training: Develop how-to guides SOPs and onboarding for delivery teams reviewers and users; run office hours and feedback loops to improve safe effective use of AI-enabled features.

Ideal Candidate May Have

• Education and background: Bachelors orMasters in Business Information Systems Computer Science or related field; certifications in privacy compliance or AI governance are beneficial.

• Experience:3-5years in solution delivery or program operations within regulated industries supporting enterprise-scale digital or AI-enabled products.

• Compliance and governance operations: Hands-on experience running promotional compliance privacy/data protection (e.g. GDPR CCPA) and audit processes; skilled in compliance-by-design artifacts and workflows.

• AI operations awareness: Familiarity with model/prompt lifecycle monitoring drift and bias checks prompt safety model documentation (model cards) and human oversight processes.

• Platforms and integration knowledge: Working knowledge of CRM MLR/PRC DAM analytics/BI CDP; ability to manage API specs interface inventories and release notes with engineering teams.

• Data stewardship: Practical experience with consent management identity resolution metadata standards access controls and regional data sovereignty; comfortmaintainingdata catalogs and quality SLAs.

• Coordination and communication: Strong stakeholder management to support legal/medical/regulatory engineering data and product teams; clear written communication and structured documentation skills.

• Vendor management support: ExperiencemaintainingSLAs/KPIs compliance/security artifacts and remediation plans with SaaS and services partners; basicthirdpartyrisk processes.

• Analytics and reporting: Ability to build dashboards for adoption quality and compliance; support experiment design baselining and A/B testinglogistics.

• Process improvement and enablement: Experience creating SOPs templates checklists and training;track recordof continuous improvement in delivery and governance processes.

Why Join Us

At AstraZenecas Alexion division you willoperateat the intersection of innovation and responsibility.Youllhelp shape how AI responsibly accelerates commercial impact in service of patients with rare diseases. With global reach and a collaborative culture grounded in ethics and transparencyyoullscale capabilities that make a difference daily while growing your career in a fast-evolving portfolio.

We embrace diversity and equality of opportunity and welcome applications from all qualified candidates. We work in person on average a minimum of three days per week to enable collaboration and pace with flexibility to balance individual needs.