Data Team Lead

Unity Systems; England; Remote; GBP 60,000 - 80,000; Full time

Job summary

A pioneering healthcare solutions provider is seeking a Senior Data Team Lead for a contract role in Clinical Data Management. This remote position involves leading multiple studies, ensuring quality and timelines, and acting as the primary client contact for data deliverables. The ideal candidate will have substantial experience in CDM, strong leadership skills, and a proven track record in managing complex clinical projects. This role offers a competitive salary and an opportunity to significantly impact healthcare solutions.

Qualifications

• Extensive experience leading multiple clinical studies or programmes through the full CDM lifecycle.
• Proven senior-level experience as a Data Team Lead (DTL) or equivalent CDM leadership role.
• Strong working knowledge of GCP, regulatory requirements, SOPs, and audit readiness.

Responsibilities

• Lead end-to-end CDM delivery across multiple studies or programmes.
• Act as the primary client-facing contact for all data management deliverables.
• Create, review, approve, and maintain Data Management Plans (DMPs).
• Identify root causes of delivery or quality issues and implement corrective actions.

Skills

Leadership

Client-facing ability

Project management

Communication

Quality assurance

Education

Bachelor's degree in relevant field

Job description

Senior Data Team Lead / Senior Data Lead – Clinical Data Management (Contract)

Location: England – Home-based / Remote (Reading-based)

Duration: Full-time contract, 40 hours per week

Contract: 7 months

Right to Work: Must hold valid RTW in England (no sponsorship available)

Role Overview

We are seeking a senior‑level Data Team Lead (DTL) to manage the end‑to‑end delivery of Clinical Data Management (CDM) services across single‑ and multi‑service clinical projects. This role supports a critical client programme and requires a confident leader with strong client‑facing capability and full accountability for delivery, quality, timelines, and financial oversight.

The successful candidate will provide strategic and operational leadership across study planning, execution, and close‑out, acting as the primary point of contact for data management deliverables while ensuring regulatory compliance and audit readiness.

Key Responsibilities

Leadership & Delivery

• Lead end‑to‑end CDM delivery across multiple studies or programmes through the full data management lifecycle
• Act as Data Team Lead (DTL), Program Lead, and/or Subject Matter Expert (SME) as required
• Provide leadership and direction to Data Operations and CDM teams to ensure quality, timelines, and contractual commitments are met
• Serve as the escalation point for unresolved data issues and drive resolution with internal teams, vendors, and stakeholders
• Train, mentor, and coordinate junior DTLs and CDM staff

Client & Stakeholder Management

• Act as the primary client‑facing contact for all data management deliverables
• Manage ongoing communications, issue escalation, workload planning, and continuous improvement initiatives
• Lead discussions relating to timelines, resourcing, scope, and financial changes
• Maintain strong, professional relationships throughout the project lifecycle

Data Management & Quality

• Create, review, approve, and maintain Data Management Plans (DMPs)
• Ensure all CDM activities comply with GCP, regulatory guidelines, SOPs, and internal policies
• Maintain audit‑ready documentation and lead responses to audits and inspections
• Implement proactive quality management plans across multiple studies or programmes
• Ensure timely follow‑up and resolution of compliance findings
• Serve as Project Manager for single‑service DM projects when required
• Track timelines, milestones, and deliverables in line with the Statement of Work (SOW)
• Review monthly financial reports and participate in project reviews
• Identify out‑of‑scope activities and manage change orders through to completion
• Support revenue recognition and invoicing activities

Process Improvement & Strategy

• Identify root causes of delivery or quality issues and implement corrective actions
• Propose improvements to CDM processes, methodologies, and tools
• Participate in or lead global and local best‑practice initiatives
• Support the development and implementation of new DM tools, technologies, or standards
• Contribute to SOPs, work instructions, training workshops, and knowledge‑sharing activities

Qualifications

• Bachelor’s degree (or equivalent) in health, clinical, biological, mathematical sciences, or a related discipline
• Extensive experience leading multiple clinical studies or programmes through the full CDM lifecycle
• Proven senior‑level experience as a Data Team Lead (DTL) or equivalent CDM leadership role
• Strong working knowledge of GCP, regulatory requirements, SOPs, and audit readiness
• Demonstrated client‑facing experience, acting as primary contact for delivery and escalation
• Excellent project management, communication, and stakeholder management skills
• Program‑level leadership or SME responsibility within Clinical Data Management
• Experience implementing new DM tools, technologies, or process improvements
• Experience mentoring or line‑managing junior DTLs or CDM teams
• Exposure to global, multi‑country trials and cross‑functional environments
• Experience presenting at CDM workshops or professional forums

Who This Role Is For

• Senior‑level Clinical Data Management leaders with strong leadership presence
• Confident, client‑facing DTLs able to independently manage delivery, quality, and financials
• Professionals comfortable working across multiple studies or programmes simultaneously

Who This Role Is Not For

• Junior or mid‑level Clinical Data Managers without leadership accountability
• Candidates with only single‑study or task‑based DM experience
• Profiles lacking client‑facing or stakeholder management exposure

Seniority level

Mid‑Senior level

Employment type

Contract

Job function

Information Technology

Industries: Pharmaceutical Manufacturing, Medical Practices, and Biotechnology Research