Job Description

Lead Research Operations Manager

Location: London, Bristol or Manchester, 2 days on site per week

Contract: 6 months, scope to extend

Clearance: Active SC is preferred

Inside IR35, 675 P/D

Overview

We are seeking a Lead Research Operations Manager to support a government client focusing on improving and scaling research operations. You will operate at a senior level to remove operational barriers, streamline research practices, and enhance the efficiency and effectiveness of research delivery across a complex, multi-service environment.

Key Responsibilities

• Lead research operations strategy and execution across key programmes
• Identify and remove operational blockers to improve research delivery at scale
• Improve participant recruitment processes across complex and high-risk user groups
• Establish and enhance governance, ethics, and research processes
• Work with stakeholders to align solutions and drive adoption of best practice
• Manage tooling, suppliers, and operational processes to reduce cost and duplication
• Support the day-to-day running of research operations alongside the wider GDS function
• Drive process improvement, automation and potential AI adoption where appropriate

Essential Experience

• Strong experience in Research Operations at a senior or lead level
• Proven ability to operate in leadership roles and influence strategy
• Experience improving research processes, governance, and tooling
• Strong stakeholder management and alignment skills
• Experience working on large-scale programmes or complex organisations
• Combination of Research Operations and hands-on research understanding

Skills & Behaviours

• Strategic thinker focused on process improvement and efficiency
• Confident leader able to operate with autonomy
• Strong collaborator across multidisciplinary teams
• Ability to work at pace and navigate ambiguity
• Commercial awareness and financial acumen

Desirable

• Experience within large tech organisations or government departments
• Background combining public and private sector experience
• AI or automation experience within research operations
• Relevant academic background (e.g. HCI, Psychology)