Localization Solutions and AI specialist
About the team:
Our central localization technology and expertise service delivers core localization infrastructure, linguistic assets, and expert guidance to teams across Elsevier. Since launching in 2021, we have rapidly expanded our support to a wide range of stakeholders, products, and use cases.
Our growing team is part of Operations and sits in the AI Evaluation, DDE and Process Innovation department. This diverse and globally distributed group works in a matrixed environment to deliver scalable data science and localization solutions for clinicians, researchers, and students. The Localization Solutions & AI Specialist will report to the Localization Solutions Manager (based in Amsterdam).
About the role
As the Localization Solutions & AI Specialist, you will drive the implementation of AI-powered localization technologies, process automation, and API integrations to optimize and scale our global content delivery infrastructure. You will collaborate closely across Technology, Data Science and other diverse stakeholder groups to manage and improve our translation management system, language data assets and AI translation solutions, ensuring scalable, automated, integrated and quality-driven localization processes.
You will coordinate infrastructure projects, interface with technical teams and vendors, and lead the implementation and evaluation of AI-driven translation workflows. Your work will play a key role in establishing our department as the center of excellence for localization technology and AI translation quality.
Key Responsibilities
Lead the implementation, evaluation and ongoing optimization of AI-powered localization solutions, partnering with Technology, Data Science, Responsible AI, Procurement, external vendors and other stakeholders.
Oversee the organization, optimization, and scalability of language data assets (translation memories, term bases, glossaries) to maximize quality and efficiency
Manage and support API and connector integrations between our TMS, CMS and other enterprise platforms to ensure seamless, efficient localization workflows. Work closely with Technology teams and solutions vendors to understand data formats and requirements.
Lead the planning, coordination and optimization of automated localization workflows within our TMS and related systems.
Be a localization technology advocate, acting as a subject matter expert on localization technology and best practices
Develop and maintain tools and processes for tracking workflow, AI and translation quality. Proactively test, troubleshoot and validate system integrations to ensure smooth operation.
Liaise between technology groups, software vendors, and non-technical stakeholders to facilitate clear understanding of system capabilities & limitations, data formats, and integration requirements
Skills & Experience
Experience with and passion for evaluating and implementing AI solutions for localization use cases
Deep knowledge of Translation Management Systems including, workflow configuration, project templates/workflow automation, API/Connectors and software integrations. Experience configuring and supporting localization solutions in SAAS environments and integrating CMS platforms with localization tools.
Proven experience designing and coordinating technical system integrations for localization, working closely with Technology or Engineering teams. Familiarity with automation tools and workflows that drive localization efficiency, plus ability to perform basic data mapping and validation tasks
Strong analytical skills; able to design dashboards, quality monitoring systems, and reporting solutions.
Experience managing vendors and overseeing technical projects, including requirements gathering and implementation oversight.
Excellent communication and documentation skills for partnering with both technical and non-technical stakeholders
Proactive, self-directed approach to leading initiatives, with strong attention to detail and good problem-solving abilities.
Understanding of internationalization (i18n) best practices.
Technical skills/nice to haves:
Experience with BI tools (PowerBI, Tableau, Looker, etc.).
Experience with REST API
Experience with Python
Background implementing or evaluating MT quality metrics (BLEU, COMET, MQM, etc.).
Work in a way that works for you
We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working for you
We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:-
About Business
At Elsevier, we help the world of research to make high-value decisions with confidence through a rich portfolio of services and products such as Scopus, Pure, and SciVal. The high-quality connected data and insights that these products provide come from our Research Data Platform (RDP), the data powerhouse of Elsevier’s analytics business. RDP follows Data Mesh principles and is organized in domains, one of which is focusing on identifying and linking topics and concepts found in scientific text. We are looking for a senior data scientist (SDS-I) with a background in Natural Language Processing (NLP) and Machine Learning (ML) to join our team.
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