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Generative AI Innovation and Delivery Manager

Job in Oxford, Oxfordshire, OX1, England, UK
Listing for: Elsevier
Full Time position
Listed on 2026-02-13
Job specializations:
  • IT/Tech
    AI Engineer, Data Science Manager, Data Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 80000 - 100000 GBP Yearly GBP 80000.00 100000.00 YEAR
Job Description & How to Apply Below
## .Generative AI Innovation and Delivery Manager page is loaded## Generative AI Innovation and Delivery Manager locations:
Amsterdam:
UK-Oxford (Nielsen House) time type:
Full time posted on:
Posted Todayjob requisition :
R107820
** Generative AI Innovation and Delivery Manager
***** Are you passionate about connecting with researchers and internal users, understanding their needs,
***** About our Team
** Elsevier’s Science, Technology, and Medical, Journals (STMJ) division manages an extensive collection of 2000+ journals. The central Customer Experience & Innovation (CE&I) team within STMJ are experts in key strategic and operational areas, and together with our partners across the business, we identify, analyze, and respond to the needs of researchers and clinicians. We do this by combining deep data-driven strategic insights with innovative solutions.

Our test and learn approach results in best practices allowing STMJ to develop trusted publishing venues and provide a smooth, effective, and collaborative customer experience.

** About the Role
** We are looking for a Generative AI Innovation and Delivery Manager to join the
* Customer-Centric Innovation Center of Expertise* (CoE) in CE&I. The CoE facilitates innovation across the business and has a mission to advance science with solutions that add value to customers. Starting with deep customer insights, the CoE drives and supports strategic innovation by identifying opportunities, defining best practices, and guiding piloting and implementation efforts to enhance the experiences of authors, editors, and reviewers and support operational effectiveness.

The Innovation and Delivery Manager will play a pivotal role in delivering Elsevier’s Generative AI initiatives within STMJ. The role focuses on leading the delivery of end-to-end GenAI initiatives, with an emphasis on improving complex processes, building deep domain expertise, and increasing STMJ’s capacity to execute high-impact AI initiatives.

The role will contribute to the operational execution of the GenAI strategy by mapping, redesigning, and optimizing workflows to embed GenAI capabilities king across STMJ and adjacent functions, the role will coordinate experimentation and delivery activities, and support the transition of initiatives toward adoption, ensuring work is executed effectively, responsibly, and with measurable impact.

The role will be based in Amsterdam and will report to the Head of Innovation Projects. The role will work closely with other core members of the Innovation Center of Expertise, in particular the Director of Generative AI and the GenAI Policy and Governance Manager, , as well as with other stakeholders across STMJ, Operations, A&G, and Technology to support aligned and effective delivery of Generative AI initiatives.
** Key responsibilities
*** Maintain a strategic overview of Generative AI opportunities, use cases, and enabling capabilities across STMJ, identifying areas where AI can deliver meaningful customer and business impact.
* Conduct ongoing strategic intelligence on competitive, industry, and technological developments in Generative AI relevant to scholarly publishing workflows and internal operations.
* Lead and coordinate selected GenAI innovation initiatives, including experiments, tests, and pilots, with a strong focus on learning, feasibility, and value validation.
* Map, redesign, and optimize workflows to explore and embed GenAI capabilities, improving efficiency, scalability, and decision-making within innovation and discovery contexts.
* Develop clear business cases and value hypotheses for GenAI initiatives, including feasibility considerations, cost-benefit analysis, and risk assessment to support prioritization decisions.
* Coordinate cross-functional teams to ensure innovation efforts progress smoothly from discovery toward readiness for adoption, minimizing friction between experimentation and operationalisation.
* Act as a subject-matter expert in Generative AI delivery and application, providing practical insight to inform experimentation, governance discussions, and solution design, while working closely with specialist roles across policy, UX…
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