UCB Posted July 29, 2026

Data Architect (United States)

Boston, Massachusetts, United States OTHER

UCB is the source of truth for this posting and owns the application process. We surface normalized context and market comparison you won't find on the original listing.

About this opportunity

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.

Job details

Seniority
Not listed
Function
Not listed
Therapeutic area
Not listed
Location
Boston, Massachusetts, United States
Employment type
OTHER

How this role compares

Computed from every other active role in our database, not just this employer's listings.

We don't have enough classified peer data for this role yet, so there's no comparison to show. This happens when a posting's title/category doesn't match any taxonomy rule -- it's excluded rather than compared against the wrong peer group.