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UX Research Operations; ResOps) Specialist

Job in Manchester, Greater Manchester, M9, England, UK
Listing for: Interactive Investor Plc
Full Time position
Listed on 2026-09-01
Job specializations:
  • IT/Tech
    AI Business & Operations
  • Business
    AI Business & Operations
Salary/Wage Range or Industry Benchmark: 42230 GBP Yearly GBP 42230.00 YEAR
Job Description & How to Apply Below
Position: UX Research Operations (ResOps) Specialist

Title:

UX Research Operations Specialist

Location:

Manchester 3 days in office, 2 days remote

Salary:
From £42,230

Who we are:

interactive investor is an award-winning investment platform that puts its customers in control of their financial future.

We’ve been helping investors for nearly 30 years. We’ve seen market highs and lows and been resilient throughout. We’re now the UK’s number one flat-fee investment platform, with assets under administration approaching £80 billion and over 500,000 customers.

For a simple, flat monthly fee we provide a secure home for your pensions, ISAs and investments. We offer a wide choice of over 20,000 UK and international investment options, including shares, funds, trusts and ETFs.

We also bring impartial, expert content from our award-winning financial journalists, highly engaged community of investors, and daily newsletters and insights.

Purpose of the role:

The Research Operations (Res Ops) Specialist enables the UX Research team to work efficiently, ethically, consistently, and in line with regulatory requirements. The role focuses on improving research workflows, participant operations, tooling, governance, collaboration, and overall operational maturity.

The Res Ops Specialist identifies and removes friction in the research process, allowing researchers to focus on generating meaningful insights, while ensuring that the systems, tools, governance, and practices supporting research are robust, scalable, and sustainable.

Working closely with UX Researchers, the UXR Manager, UXR Principal, Product teams, Legal, Compliance, Data Privacy, and other stakeholders, the role supports research effectiveness, operational consistency, participant governance, AI adoption, insight management, and scalable ways of working across the UX Research function.

This role does not conduct all research activities or own research strategy. Instead, it supports the UX Research function by improving the operational foundations—such as workflows, tooling, governance, participant management, and documentation—that enable high-quality research at scale.

Research Workflow & Operational Enablement
  • Analyse current research workflows and identify inefficiencies, risks, or operational bottlenecks.
  • Define, implement, and continuously improve scalable research operations processes and standards.
  • Create scalable frameworks for research intake, prioritisation, participant management, scheduling, and delivery support.
  • Support research planning, coordination, recruitment timelines, and operational readiness across studies.
  • Work directly with UX Researchers to identify workflow friction, tooling challenges, and operational improvements within day-to-day delivery.
  • Help improve collaboration and reduce friction across UX, Product, Engineering, Compliance, Legal, Customer Service, and wider business teams.
  • Lead and embed continuous improvement initiatives across research operations, governance, tooling, and ways of working.
  • Support onboarding for new researchers by ensuring access, tools, guidance, documentation, and operational processes are clear and easy to follow.
Research Tools, Systems, AI & Insight Management
  • Own and optimise the research tool ecosystem (e.g. User Testing, User Interviews, Usabilla, Content Square, repository systems, transcription tools, or similar platforms).
  • Manage tool access, licences, onboarding, and usage guidance.
  • Support UX Researchers with tooling, repository management, recruitment coordination, workflow optimisation, and operational best practice guidance.
  • Identify and introduce new tools, automations, or operational improvements that increase research efficiency, governance, and quality.
  • Actively identify, evaluate, test, and introduce AI tools, automations, and emerging technologies that improve efficiency, reduce repetitive manual tasks, accelerate synthesis, support analysis workflows, enhance collaboration, and improve operational scalability across UX Research.
  • Support the safe, scalable, and effective adoption of AI across research workflows and practices.
  • Keep awareness of emerging industry tooling, AI capabilities, research operations trends, and operational best practices…
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