Data Foundations Lead

UCB

  • Boston, MA
  • 30+ days ago
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    Skills

    • Artificial Intelligence (AI)unmatched
    • Computer Scienceunmatched
    • Data Managementunmatched
    • Data Modelingunmatched
    • Data Processingunmatched
    • Data Qualityunmatched
    • Data Scienceunmatched
    • DataArchitect Data Modeling Toolunmatched
    • Enterprise Architectureunmatched
    • Knowledge Managementunmatched
    • Metadataunmatched
    • Multiplatform/Cross-Platformunmatched
    • Ontologyunmatched
    • Process Improvementunmatched
    • Product Developmentunmatched
    • Product Programsunmatched
    • Product Supportunmatched
    • Quality Managementunmatched
    • Scientific Researchunmatched
    • Standards Developmentunmatched
    • Structured Dataunmatched
    • TOGAF - The Open Group Architecture Frameworkunmatched
    • Team Playerunmatched
    • Unstructured Dataunmatched
    • Use Casesunmatched

    Description

    Make your mark for patients

    We are looking for a Data Architect, who is agile and innovative to lead the Patient Solutions Data Foundations team, based in Slough, UK (Windlesham, Surrey 2027), Braine l'Alleud, Belgium or Boston, US.

    About the role

    You will play a key role in shaping how data is structured, governed, and used across the organisation. You will define standards for data and metadata, enabling scalable, high-quality data foundations that support research, innovation, and AI-driven insights.

    Who you'll work with

    Reporting to the Head of Digital Strategy & Innovation, you will collaborate with scientific leaders across Research and Early Development. You will also partner closely with Digital Technology and Enterprise Architecture teams to ensure alignment across systems and platforms.

    What you'll do

    • Define and govern enterprise ontologies and identifiers to ensure consistent and traceable data across the organisation
    • Implement scalable metadata management processes to improve data quality, lineage, and discoverability
    • Lead adoption of AI tools to automate metadata extraction and improve knowledge management
    • Partner with data owners to embed standards at the point of data creation
    • Design and refine scalable data models aligned to research and business needs
    • Develop data products supporting priority programmes and strategic use cases.

    Interested? For this role we're looking for the following education, experience and skills

    • Bachelor's or Master's degree in Computer Science, Data Science, Information Management, or related field
    • Experience in enterprise data architecture, metadata governance, and data modelling
    • Strong understanding of structured and unstructured data management
    • Experience applying AI-driven approaches to data or metadata management
    • Ability to work across complex environments and collaborate with diverse stakeholders
    • Relevant certifications (e.g. DAMA, TOGAF, CDMP) are a plus

    Internal applicants should be in their current job for at least 12 months, must meet performance standards and are not on formal corrective/disciplinary process (PIP), warning, final warning, or compliance warning letters within the last 12 months. Please inform your Manager or your Talent Partner before applying to any internal job opportunities.

    At UCB, we've embraced a hybrid-first approach to work, bringing teams together in local hubs to foster collaborative curiosity. Unless expressly stated in the description, this role is hybrid with 40% of your time spent in the office, irrespective of your current contractual agreement. Should your current working arrangements differ, please contact your Talent Partner to discuss, before submitting your application.

    UCB is an equal opportunity employer. All employment decisions will be made without regard to any characteristic protected by applicable laws.

    Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on EMEA-Reasonable_Accommodation@ucb.com . Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel.

    Requisition ID: 93229

    Recruiter: Manuela Lalouani

    Hiring Manager: Daniel Chapman

    Talent Partner: Sandra Rogers

    Job Level: MM I

    Please consult HRAnswers for more information on job levels.

    Numbers & Facts

    LocationBoston, MA

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