Content Excellence AI Adoption and Enablement Manager, GBS job opportunity at AstraZeneca.

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AstraZeneca Content Excellence AI Adoption and Enablement Manager, GBS
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loacation Portugal - Lisboa, Portugal
loacation Portugal - Lis..........Portugal

Job Title: Content Excellence AI Adoption and Enablement Manager, GBS Location: Lisbon, Portugal About the role: Are you ready to turn GenAI into measurable business value across a complex content supply chain and accelerate compliant content to patients and healthcare professionals? In this role, you will enable teams across markets, creative studios, and offshore production to adopt AI tools confidently and consistently, building the capabilities that power faster, higher-quality content delivery. You will connect AI innovation directly to outcomes—shorter cycle times, lower cost per asset, stronger compliance, and improved downstream performance—while guiding leaders with clear, decision-ready insights. As part of a fast-moving digital transformation, you will help shape how AI, data, and design standards come together to reinvent how content is planned, created, governed, and scaled. Can you see yourself architecting pilot-to-scale playbooks that make adoption stick and deliver visible impact? Accountabilities: Lead AI training and adoption within GBS   Content &   Omnichannel Services   delivery teams : Design and deliver   engaging, hands-on,  role-based training for   in-market teams, nearshore creative   studios   and offshore content producers.   C reate enablement   assets, and   deliver  pilot-to-scale playbooks to drive sustained adoption of GenAI and   relevant   AI   applications  across   GBS process es and roles   in   the   AstraZeneca   content supply chain.   Team member will p lan and execute adoption programs with clear scope, timelines, risks, and change plans; proactively surface and resolve issues, align cross-functional stakeholders, and progress decisions with   management involvement as needed to remove barriers for mobility .   Track and communicate KPIs : Define and measure AI   adoption,   impact   and benefit   metrics (cycle time reduction, cost per asset, compliance-ready output rate   e.g.   ‘right first time ’ ,   metadata completeness, adoption/usage, downstream business outcomes) and provide decision-ready reporting to guide investment s   and scaling   decisions .   Articulate   and shape   AI opportunities to   inform leadership decisions : Build business cases, translate complex AI concepts into clear   and simple   value narratives, secure sponsorship, and recommend priorities for sequencing and scale-up.   Operationalize standards and governance : Partner with   GBS   content delivery managers to implement content   excellence   standards   including design systems,  metadata taxonom y , prompting guidelines, and AI governance t o   ensure consistency, compliance, and scalability.   Drive the strategic transformation of AstraZeneca's content supply chain through AI innovation .   I dentify , evaluate, and recommend   cutting-edge   AI applications and models for critical use cases including generative content creation,   component   management, automated tagging, translation services, MLR-ready content   assistance , and performance analytics.   C ontinuously   monitor   emerging AI trends in generative technology, modular content, and compliance-by-design solutions, translating these innovations into scalable, secure, and compliant tools that enable AstraZeneca's content supply chain reinvention. Through comprehensive evaluations and strategic recommendations, you will ensure the organization adopts the most   appropriate AI   technologies to enhance content creation efficiency while   maintaining   regulatory standards.   ​ Essential Skills/Experience: Design and deliver engaging, hands-on, role-based training for in-market teams, nearshore creative studios and offshore content producers. Create enablement assets and deliver pilot-to-scale playbooks to drive sustained adoption of GenAI and relevant AI applications across GBS processes and roles. Plan and execute adoption programs with clear scope, timelines, risks, and change plans; proactively surface and resolve issues, align cross-functional stakeholders, and progress decisions with management involvement as needed. Define and measure AI adoption, impact and benefit metrics (cycle time reduction, cost per asset, compliance-ready output rate e.g. “right first time”, metadata completeness, adoption/usage, downstream business outcomes) and provide decision-ready reporting to guide investments and scaling decisions. Build business cases, translate complex AI concepts into clear and simple value narratives, secure sponsorship, and recommend priorities for sequencing and scale-up. Partner with content delivery managers to implement content excellence standards including design systems, metadata taxonomy, prompting guidelines, and AI governance to ensure consistency, compliance, and scalability. Identify, evaluate, and recommend cutting-edge AI applications and models for use cases including generative content creation, component management, automated tagging, translation services, MLR-ready content assistance, and performance analytics. Continuously monitor emerging AI trends in generative technology, modular content, and compliance-by-design solutions; translate these innovations into scalable, secure, and compliant tools that enable content supply chain reinvention. Desirable Skills/Experience: Experience enabling AI adoption within complex, regulated content operations and omnichannel marketing ecosystems. Hands-on knowledge of LLMs, prompt engineering, content design systems, metadata models, and taxonomy management. Familiarity with medical, legal and regulatory (MLR) workflows and compliance-by-design approaches. Track record building pilot-to-scale programs and enterprise playbooks that deliver measurable adoption and performance improvements. Expertise in program management, stakeholder engagement, and change leadership across global, cross-functional teams. Ability to connect operational metrics to downstream business outcomes and communicate insights to senior leaders. Background in evaluating vendor solutions and models for security, compliance, and scalability in enterprise environments. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. Why AstraZeneca: Join a company where science, data and technology converge to deliver real outcomes for patients and society. You will work with technologists, creatives and scientists who collaborate at speed, using digital tools and human insight to transform how medicine reaches people. We value kindness alongside ambition and give you the autonomy, modern platforms and supportive peers needed to experiment, learn and scale ideas that matter—so the impact of your work is visible in faster content, clearer information, and smarter decisions across the enterprise. Step into this role to shape how AI transforms our content supply chain—send your CV today and start creating measurable impact! Date Posted 28-Jan-2026 Closing Date 12-Feb-2026 AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

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