Lead Research Operations Manager

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)