552 Lead Data Manager jobs in the United Kingdom

• Lead and manage global clinical data management activities for assigned clinical trials.
• Oversee the design, build, testing, and validation of clinical databases using Electronic Data Capture (EDC) systems.
• Develop and implement comprehensive data management plans (DMPs), data validation plans, and data review guidelines.
• Manage data cleaning activities, including query generation and resolution, ensuring data accuracy and completeness.
• Oversee the development and execution of User Acceptance Testing (UAT) for clinical databases and related tools.
• Ensure compliance with ICH-GCP guidelines, regulatory requirements, and internal SOPs.
• Lead the process of database lock for clinical studies, ensuring all data issues are resolved.
• Manage and mentor a team of clinical data managers, fostering their professional development.
• Liaise with external vendors, including CROs, for data management activities.
• Contribute to the development and maintenance of departmental SOPs and work instructions.
• Represent the data management function in cross-functional study team meetings and contribute to study-level strategy.
• Ensure data standardization according to CDISC SDTM and ADaM requirements where applicable.

• Bachelor's degree in a life science, computer science, or related field.
• A minimum of 7 years of experience in clinical data management within the pharmaceutical or biotech industry.
• At least 2 years of experience in a lead or management role.
• Extensive experience with various EDC systems (e.g., Medidata Rave, Oracle Clinical, Veeva Vault EDC).
• Strong knowledge of clinical trial processes, regulatory requirements (ICH-GCP, FDA), and data standards (CDISC).
• Proven ability to manage multiple projects simultaneously in a remote setting.
• Excellent leadership, communication, and interpersonal skills.
• Strong understanding of data quality control and validation methodologies.
• Experience in managing and mentoring direct reports.
• Ability to work independently and collaboratively in a fast-paced, global environment.

• Lead and mentor a team of clinical data managers, fostering a collaborative and high-performing environment.
• Develop and implement data management plans (DMPs) in accordance with study protocols and regulatory requirements (e.g., GCP, ICH).
• Oversee the design, build, validation, and maintenance of clinical databases using EDC systems (e.g., Medidata Rave, Oracle Clinical).
• Develop and manage data validation plans, edit check specifications, and data cleaning activities.
• Ensure timely query resolution and reconciliation of data discrepancies.
• Perform data reviews and quality control checks to ensure data integrity and consistency.
• Collaborate with statisticians, programmers, and clinical operations teams to define data structures, variables, and reporting needs.
• Manage external vendors and CROs involved in data management activities.
• Develop and maintain standard operating procedures (SOPs) and work instructions for data management processes.
• Contribute to the development and continuous improvement of data management systems and technologies.
• Ensure compliance with all relevant data privacy regulations (e.g., GDPR).
• Prepare data management sections for study protocols, CSRs, and regulatory submissions.

• Bachelor's degree in a relevant scientific discipline (e.g., Life Sciences, Statistics, Computer Science) or equivalent practical experience.
• A minimum of 7 years of progressive experience in clinical data management within the pharmaceutical or biotechnology industry.
• Proven leadership experience, with the ability to manage and motivate a team.
• Extensive experience with Electronic Data Capture (EDC) systems and clinical databases.
• Strong understanding of clinical trial processes, study design, and regulatory guidelines (GCP, ICH).
• Excellent knowledge of data validation techniques, query management, and data cleaning procedures.
• Proficiency in SAS or other statistical software for data analysis is a plus.
• Exceptional attention to detail and commitment to data quality and accuracy.
• Strong communication, interpersonal, and organizational skills.
• Ability to work effectively in a remote, fast-paced, and demanding environment.
• Experience with CDISC standards (SDTM, ADaM) is highly desirable.

We have an exciting opportunity for a technical and commercial Lead Data Architect to join our Data Office. 

You will have direct ownership of our Data Architecture Practice, comprising of a small team of Data Architects and ownership of our Data Design Authority. You will support all strategic investment programmes, be a key contributor to our Data Strategy and instrumental to the execution of our cloud migration strategy and delivery of our Fabric Data Platform.

This role is hybrid and will require some attendance at our Bournemouth Head Office.

Key Responsibilities
•Lead the Data Architecture practice, defining and embedding strong architecture principles across our strategic investment programmes and BAU activity.
•Manage and coach a small team of Data Architects, a blend of on and off-shore resources, enhancing maturity and capability.
•Manage and govern our Data Design Authority, providing direction, assurance and leadership across the wider architecture community, ensuring adherence to Data architecture principles, supporting the execution of the Data, Digital, AI and Cloud Migration strategies respectively. 
•Collaborate with the wider Architecture community, supporting projects and BAU initiatives with impacts assessments and inputs to high level solution and technical design activity.
•Optimise the design and architecture of our Fabric Data Platform working in close collaboration with our Lead Fabric Engineer. Provide coaching and mentoring to the Engineering community as needed required.
•Support the planning and shaping of our Fabric programme, working in close collaboration with our Project/Programme Manager and Scrum Master. 
•Actively support our Data Steering committee working with the Head of Data to shape content and drive the right outcomes.
•Collaborate with external application providers/vendors and solution/support delivery partners as required.

About You
•Demonstrable experience as a Lead or Enterprise Data Architect, preferably in mid or larger sized organisations, driving cloud migration and supporting Data, Digital and AI transformation. 
•Demonstrable experience running and leading a Data Design Authority or Data Architecture Forum, shaping and embedding robust architecture and information governance principles. 
•Experience of supporting a programme of strategic investment activity running concurrently.
•Preferably proficient with Microsoft Azure data services and tooling. Fabric and Purview exposure a strong benefit. 
•Solid grasp of data modelling techniques, data integration patterns, Data Science, analytics and AI. 
•Skilled in using data modelling tools to support creation of practical, deployable conceptual, physical and logical data models.
•Commercial awareness, with experience in developing and presenting business concepts and proposals.
•Ideally have familiarity with financial systems and products, insurance industry terminology and operations. 

Rewards & Benefits
This role is a Band C in the LV= Structure.

At LV= Life and Pensions, you’ll go above and beyond to do the right thing for our customers. We’ll reward your hard work with an attractive, competitive salary and benefits package, which includes:
•30 days' holiday, with the option to buy up to 2 additional days
•Hybrid working pattern from our Bournemouth office 
•Competitive pension scheme - LV= Life and Pensions will double-match the amount you pay, up to 14% (subject to National Minimum Wage requirements)
•An annual bonus scheme based on company and personal performance 
•Single-cover private medical insurance (with the option for you to upgrade to family cover)
•Flexible benefits, including a cycle to work scheme, personal accident insurance, critical illness cover and dental insurance
•Up to 20% discount on our life products for you and your immediate family
•A group life assurance policy with 4 x your basic pay to go to your dependents (you’ll have the option to increase to 8 x cover)
•Group Income Protection (if you become a member of the Pension scheme and reach 5 years of service)
•Access to our Employee Assistance Programme (EAP) for support when you need it
•A virtual GP service
•Shared parental leave.

We’re proud of our inclusive culture at LV= and, as an equal-opportunity employer, we continually work to remove unconscious bias from our recruitment process. We value our colleagues for what they bring to our team regardless of any protected status or characteristics they may have. Talk to us about flexible working as part of your application; if it’s right for you, our members and customers, and our business, then we’ll do everything we can to make it happen.

Please note that we are unable to offer Skilled Worker Visa Sponsorship for this role. Therefore, you must ensure that you are eligible to work in the UK without our sponsorship for your application to be considered.

Lead Data Scientist

Up to £150,000

London (Hybrid, 2-3 days onsite per week)

Company:

This private equity and investment start-up are focused on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle.

Responsibilities:

• Build machine learning predictive models to anticipate/avoid asset downtime and reducing customer churn
• Evaluate and optimise all models, identifying areas for development
• Work end-to-end both building and deploying models
• Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements
• Stay updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business value.
• Remaining technically very hands on whilst mentoring

Requirements:

• MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
• Strong coding skills in Python and SQL
• Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.

How to Apply:

Please register your interest by sending your CV to Emily Burgess via the Apply link on this page.

Keywords:

Machine Learning, Data Science, start-up, Investment, Equity

Brand new Permanent Opportunity for a Lead/Principal Data Architect with an Emerging National Security Consultancy in Cheltenham

• Must hold Active Enhanced DV (West) Clearance to start
• Up to £105k DoE
• Cheltenham location – 80% on-site
• Essential experience in Data Architecture, Data Analytics, AI Solutions, AWS

Who Are We?

Our client has over 30 years of experience in solving complex data challenges for defence, national security, and central government clients. They specialise in areas such as AI and machine learning, geospatial data analytics, cloud services, and data strategy, delivering tailored solutions that enhance decision-making, operational performance, and mission readiness

Key Responsibilities:

In the role, you’ll design and deliver advanced data-driven systems that enable national security clients to make faster, better-informed decisions. Beyond solution delivery, you’ll help shape future capabilities by developing proof-of-concept demonstrators, refining approaches to complex data challenges, and contributing to frameworks and methodologies in the national security domain.

We need the Principal Data Architect to have:

• Enhanced DV Clearance (West) to start
• Willing to work on-site in Cheltenham 4 days per week

Key skills required:

• Expertise in data architecture, including modelling, analysis, transformation, migration, and master data management.
• Experience in developing data analytics and AI-driven solutions.
• Skilled in designing and automating data quality metrics and KPIs.
• Proficient with AWS (S3, Kinesis, Glue, Redshift, Lambda, EMR) and/or Azure (ADF, Synapse, Fabric, Functions).

To be Considered….

Please either apply by clicking online or emailing me directly to For further information please call me on or . I can make myself available outside of normal working hours to suit from 7am until 10pm. If unavailable please leave a message and either myself or one of my colleagues will respond. By applying for this role you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search Henry Clay-Davies Searchability. I look forward to hearing from you.

Lead Data Scientist

Up to £125,000

London (Hybrid, 2-3 days onsite per week)

Company:

This private equity and investment start-up are focused on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle.

Responsibilities:

• Build machine learning predictive models to anticipate/avoid asset downtime and reducing customer churn
• Evaluate and optimise all models, identifying areas for development
• Work end-to-end both building and deploying models
• Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements
• Stay updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business value.
• Remaining technically very hands on whilst mentoring

Requirements:

• MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
• Strong coding skills in Python and SQL
• Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.

How to Apply:

Please register your interest by sending your CV to Emily Burgess via the Apply link on this page.

Keywords:

Machine Learning, Data Science, start-up, Investment, Equity

Lead Data Scientist

Up to £150,000

London (Hybrid, 2-3 days onsite per week)

Company:

This private equity and investment start-up are focused on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle.

Responsibilities:

• Build machine learning predictive models to anticipate/avoid asset downtime and reducing customer churn
• Evaluate and optimise all models, identifying areas for development
• Work end-to-end both building and deploying models
• Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements
• Stay updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business value.
• Remaining technically very hands on whilst mentoring

Requirements:

• MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
• Strong coding skills in Python and SQL
• Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.

How to Apply:

Please register your interest by sending your CV to Emily Burgess via the Apply link on this page.

Keywords:

Machine Learning, Data Science, start-up, Investment, Equity

LEAD DATA ANALYST - LONDON

UP TO £80,000

THE COMPANY

We are working with a green tech, PE backed business on a key Analytics hire.

THE ROLE

The successful Lead Data Analyst responsibilities will include:

• Lead end-to-end analytical projects across pricing, promotions, and customer segmentation, delivering insights that drive commercial performance.
• Develop and deploy predictive models to forecast demand, optimise price elasticity, and measure promotional effectiveness.
• Translate analytical outputs into clear, actionable recommendations for commercial, marketing, and finance stakeholders.
• Partner with senior leaders to shape strategy, influence decisions, and embed data-driven thinking across the business.

YOUR SKILLS AND EXPERIENCE

The successful Lead Data Analyst will have the following skills and experience:

• Strong technical skills in SQL and Python, with experience in building models for pricing, forecasting, or customer segmentation.
• Proven experience applying predictive modelling and statistical techniques to solve commercial challenges.
• Excellent stakeholder management - able to work autonomously, prioritise effectively, and communicate complex insights with clarity.
• A proactive, ownership-driven mindset, comfortable operating in a fast-paced, entrepreneurial environment.

THE BENEFITS

The successful Lead Data Analyst will receive a salary of up to £INSERT, plus an array of additional benefits.

HOW TO APPLY:

Please register your interest by sending your CV to Harry Mincer via the apply link below.