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 processes and procedures for website assets: including and not limited to content, data lineage, taxonomy, tagging, metrics, and 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 digital web and AI strategy into actionable delivery plans; maintain roadmaps, trackers, and documentation to support senior leaders and product owners.

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

AI, web asset governance operations: Administer AI policy guardrails and review workflows for models, prompts, datasets, and vendors; coordinate risk classification, human-in-the-loop reviews, monitoring setup, 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 playbooks, run quarterly reviews with business stakeholders, training materials, and change communications.

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

Data stewardship operations: Operate consent and identity processes, enforce data access controls, and monitor metadata standards and regional sovereignty requirements; manage data catalogs and approval gates for AI use.

Operational excellence and observability: Maintain portfolio dashboards, budgets, and benefits realization trackers; build compliance and quality telemetry, create issue registers, and coordinate escalation and resolution.

Audit readiness and documentation: Curate evidence repositories (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: Bachelor’s or Master’s in Business, Information Systems, Computer Science, or related field; certifications in privacy, compliance, or AI governance are beneficial.

Experience: 3-5 years 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; comfort maintaining data 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: Experience maintaining SLAs/KPIs, compliance/security artifacts, and remediation plans with SaaS and services partners; basic thirdparty risk processes.

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

Process improvement and enablement: Experience creating SOPs, templates, checklists, and training; track record of continuous improvement in delivery and governance processes.

Why Join Us

At AstraZeneca’s Alexion division, you will operate at the intersection of innovation and responsibility. You’ll help 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 transparency, you’ll scale 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.