Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Governance Analyst

White & Case LLP
City of London
4 days ago
Create job alert

Job Description - Senior Data Governance Analyst (2500013A)


Senior Data Governance Analyst


Are you ready to make your mark as part of our Data Governance Team? Then you’ve come to the right place. At White & Case, we’ll support you, give you responsibility and welcome you as an integral member of our global team from day one.


The Senior Data Governance Analyst is primarily an operational role, to support the implementation, adoption, and use of the Firm’s Data Governance Framework. This includes reference list processes, documentation, and maintaining the firm data catalog. This role has a strong alignment to, and involvement with, the Firm’s Data Steward community.


Key sponsorship and leadership for the Data Governance Framework sits within the firm’s Practice Solutions Function but is cross-functional in scope and is responsible for defining, implementing and overseeing the data governance, management and ownership frameworks of the Firm's data. Specifically, by using a data management technology for all core/master data, used both cross functionally and in our leadership focused business intelligence analysis, to ensure and enhance data quality, and obtain greater value from our data.


The Data Governance Framework provides an operational context to changing people’s data related behaviour by being the mechanism for the control (planning, monitoring and enforcement) and leadership of data governance activities. The Data Governance Framework consists of a C-Suite Steering Committee, a Director level Data Governors Board, and a Data Stewardship Council; supported by Technology, Information Governance, Data Governance, and Data Privacy Office (DPO) teams. The Framework has the objective of improving the quality and accessibility of data assets and being able to use them to drive competitive advantage for the firm.


Key Responsibilities

  • Liaising closely with Data Stewards to understand their data needs and requirements, and chairing Data Stewardship Council meetings.
  • Driving the metadata import and curation process for the Data Management Technology (DMT), ensuring it remains focused on resolving relevant business issues.
  • Leading the design and build of data catalogue content, metadata models, and workflows.
  • Developing and maintaining business process and lineage areas of the DMT, and supporting their use by Data Governance Framework group members.
  • Analysing business processes and requirements to identify opportunities for improvement in data management and DMT analytics.
  • Supporting the Data Governance Framework in developing user stories, use cases, and functional requirements for optimal data capture, processing, and analysis, while prioritising and tracking the issues backlog.
  • Conducting gap analysis to identify where existing data management systems do not meet business needs.
  • Participating in user acceptance testing to ensure the DMT meets business requirements.
  • Creating comprehensive documentation for the data catalogue, including data definitions, source information, transformation rules, and usage guidelines.
  • Ensuring Data Governance key assets (Business Glossary, Data Dictionary, Reference Data List, Lineage and Process Maps) are maintained in the DMT and used effectively by Data Stewards.
  • Developing and delivering DMT and Data Steward training, and keeping training materials up-to-date.
  • Supporting the development of a central reference list repository and adopting external and industry data standards (e.g., SALI or NosLegal).
  • Defining and managing data domains to ensure consistency, integrity, and alignment with business objectives.
  • Implementing and monitoring data quality standards to maintain high levels of accuracy, completeness, and reliability.
  • Supporting the firm-wide Umbrella Data Strategy by contributing to initiatives and projects that address issues and empower Data Stewards.

Qualifications and Skills

  • Bachelors or Masters degree
  • Experience of a similar role i.e. Business Analysis or Data Analysis.
  • A desire to develop a career and expertise in Data Governance and participate in shaping an evolving capability for the Firm
  • Strong analytical and problem-solving skills to identify and solve complex business problems
  • Knowledge of data management, data governance, data analytics best practices and techniques
  • Excellent communication and interpersonal skills, with the ability to bridge the business services/technology divide
  • Proactive self-starter who can self-manage and also work as part of team, with the ability to work in a fast paced, intellectually rigorous environment
  • Strong attention to detail and the ability to simultaneously manage multiple tasks and priorities
  • Business report writing capabilities, including drafting communication and/or user stories, use cases, and functional requirements
  • Experience/Familiarity with Agile and Waterfall project management methodologies
  • Knowledge of metadata management concepts, modelling, tools and standards beneficial

What We Offer

When you join us, you’ll be working directly with partners, business leaders and many other inspiring colleagues across our of offices. We live by our values—to be pioneering, united and human—and we believe that you’ll experience them from your first day. We will give you the support and development opportunities that will help you achieve your potential.


We believe that consistent high performance merits reward and support. Our compensation package reflects your calibre as a Data Governance professional, and our benefits are designed to support your changing needs and priorities across different life stages.


About White & Case

We are a global law firm with longstanding offices in the markets that matter today. Our on-the-ground experience, our cross-border integration, and our depth of local, US and English-qualified lawyers help our clients work with confidence in any one market or across many.


Location and Reporting

This role is based in London, and reports into the Data Governance Senior Manager.


Our standard office hours are 09:30-18:00, with a current requirement for 3 days in the office per week.


Firm Benefits

We offer a flexible range of benefits, services and programmes designed to help support your lifestyle requirements. Some of the benefits currently available include:



  • Private medical insurance
  • Pension plan with matched employer contribution up to 7.5%
  • Yearly wellbeing fund
  • Income protection
  • Life insurance
  • Critical Illness insurance
  • Private GP services
  • Travel insurance
  • Dental coverage
  • Cycle to work
  • Holiday purchase (available during annual enrolment)

Equal Opportunity Statement

White & Case is an Equal Employment Opportunity (EEO) employer and is committed to creating a fair workplace. It is our Firm’s policy to recruit, employ, train, compensate and promote without regard to race, color, religion, creed, national origin, age, gender, sexual orientation, marital status, military or veteran status, disability, genetic information, or any other category protected by applicable law.


If you require assistance and/or adjustment to participate in our application and/or interview process, please email us. We will be happy to work with you.


Note to recruitment agencies: Our internal Recruitment team is responsible for all end-to-end lateral recruitment processes. All agencies must sign White & Case terms of business, which are office specific. Candidates submitted by an agency without terms of business agreed with the appropriate office, and/or outside of our online application tracking system, will not be considered a formal introduction.


Any applications and CVs sent directly to White & Case Partners and employees will not be accepted as formal introductions. If you have any questions, please contact the London Recruitment team.


When engaging with agencies, we are supported by our preferred suppliers.


Primary Location

United Kingdom-London


Expected Workplace : Hybrid


Job Posting
Refer a friend for this job

Tell us about a friend who might be interested in this job. All privacy rights will be protected. Refer a friend



  • Attorney Advertising. Prior results do not guarantee a similar outcome.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Governance Analyst

Senior Data Governance Analyst

Data Governance Analyst

Data Governance Lead & Stewardship Liaison

Senior Data Analyst, Governance & Experience - TikTok Shop EMEA

Senior Data Analyst Business Partner

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.