Consultant - Data Process & Automation Engineer

You will work directly with clients to analyse business processes, identify opportunities for improvement and build scalable automation solutions using low-code, RPA and AI-enabled technologies., * Analyse end-to-end business processes and identify root causes of inefficiency and variation.

• Assess and prioritise suitable process-automation opportunities.
• Design future-state processes that balance efficiency, user experience and risk.
• Build workflow solutions using low-code, RPA and AI-enabled technologies.
• Support the testing, deployment and operational handover of automation solutions.
• Assess when Agentic AI offers genuine value beyond traditional automation.
• Design human-in-the-loop workflows with appropriate controls and escalation routes.
• Evaluate AI use cases based on feasibility, value, risk and operational readiness.
• Help clients establish controls for model monitoring, compliance, auditability and responsible AI.
• Define KPIs and success measures for process improvements.
• Support benefits realisation and continuous optimisation following deployment.
• Facilitate workshops with business, operational and technology stakeholders.
• Contribute to proposals, client presentations and thought-leadership activities.

• At least three years’ experience in a client-facing or consulting environment.
• Experience analysing and improving end-to-end business processes.
• Practical knowledge of workflow automation, low-code platforms or RPA.
• Experience with automation tools such as UiPath or Celonis.
• Strong stakeholder-management and workshop-facilitation skills.
• Ability to translate business requirements into practical automation solutions.
• Understanding of automation governance, controls and risk management.
• Strong written and verbal communication skills.

Desirable experience

• Microsoft Copilot Studio, Power Automate or Azure AI.
• Agentic AI or AI-enabled workflow automation.
• API-based integrations and workflow orchestration.
• Enterprise system connectivity.
• Human-in-the-loop workflow design.
• Responsible AI and model-governance frameworks.
• A degree in computer science, data science, information systems or a related discipline.

This is an excellent opportunity to work at the intersection of process improvement, data, automation and AI while helping major organisations develop more efficient and scalable operations.