UX Researcher

Role Overview

• Conduct in-depth research with stakeholders including CFOs, finance teams, and operational leaders.
• Observe real workflows through shadowing, process walkthroughs, and working sessions.
• Map decision-making processes, behaviours, and pain points.
• Identify barriers to adoption including trust, organisational dynamics, and compliance concerns.
• Translate business problems into user, workflow, and experience requirements.
• Design intuitive workflows that simplify complex AI capabilities.
• Translate model outputs into clear, actionable user interactions.
• Define patterns for explainability, confidence, and transparency in AI systems.
• Create interaction models for effective human-AI collaboration.
• Build prototypes and interactive flows to validate ideas before engineering.
• Enforce accessibility standards across AI products to ensure usability for all users and reduce adoption barriers.
• Design onboarding journeys that lead users to early value.
• Define the “first value moment” for each product.
• Create training experiences that drive behaviour change, not documentation.
• Design rollout strategies tailored to different organisations and user groups.
• Define what successful adoption looks like in measurable terms.

Requirements

• Strong experience in qualitative research, including interviews and workflow observation.
• Ability to uncover how organisations actually operate, not how they claim to operate.
• Experience identifying behavioural patterns, decision-making processes, and resistance to change.
• Comfortable engaging senior stakeholders and navigating complex environments.
• Experience designing user flows and interaction models for complex systems.
• Ability to simplify technical or data-driven processes into intuitive experiences.
• Strong prototyping capability using tools such as Figma, FigJam, or Miro.
• Understanding of explainability and trust in AI-driven experiences.
• Understanding of accessibility standards and design systems.
• Experience designing for adoption, not just usability.
• Awareness of organisational dynamics, incentives, and barriers.
• Interest or experience in AI-powered or data-driven products.
• Ability to translate between technical capabilities and user needs.

Benefits

• A truly hybrid and flexible working environment.
• Opportunity to be at the forefront of AI-driven advisory services.
• Commitment to providing an inclusive and accessible recruitment process.