BUSINESS ANALYST - AI AUTOMATION

Rand Refinery Limited; Rand CP; On-site; GBP 55,000 - 90,000; Full time

Job summary

Rand Refinery Limited in the United Kingdom seeks a Business Analyst – AI Automation to lead the enablement, delivery, adoption, and governance of AI and Intelligent Automation solutions across the organisation. You will partner with business stakeholders to identify AI-driven opportunities, redesign processes and implement technology-enabled improvements.

The role involves developing AI-enabled business solutions using low-code platforms, configuring AI agents and workflows, and ensuring

Qualifications

• Experience in AI-enabled business solution design.
• Knowledge of low-code platforms and governance.
• Awareness of cybersecurity, privacy, and data protection considerations.

Responsibilities

• Maintain the enterprise AI roadmap and implementation pipeline.
• Develop AI-enabled business solutions to improve efficiency and decision-making.
• Conduct AI risk and impact assessments.
• Ensure compliance with cybersecurity, privacy, regulatory, and governance standards.
• Design and develop solutions using approved low-code technologies.
• Configure AI agents, workflows, forms, approvals, and knowledge repositories.
• Leverage Microsoft Copilot Studio, Power Automate, Power Apps, SharePoint, Dataverse, and Microsoft 365 Copilot.
• Track and report productivity gains, risk reduction, and cost savings.

Job description

Vacancy: Business Analyst – AI Automation

Division: Information Technology

Job Grade: C - Lower

Job Type: Permanent

Closing Date: 11 October 2026

Salary: Salary and benefits will be negotiated in line with relevant experience and qualifications.

Purpose of the Position

The purpose of this role is to lead the enablement, delivery, adoption, and governance of Artificial Intelligence (AI) and Intelligent Automation solutions across the organisation. The incumbent will partner with business stakeholders to identify AI-driven improvement opportunities, redesign business processes, and implement innovative technology-enabled solutions.

Summary Of Key Responsibilities Included But Not Limited To

• Maintain the enterprise AI roadmap and implementation pipeline.
• Develop AI-enabled business solutions that improve operational efficiency and decision‑making.
• Conduct AI risk and impact assessments.
• Ensure compliance with cybersecurity, privacy, regulatory, and governance standards.
• Establish controls to manage confidentiality, bias, accuracy, accountability, and data protection risks.
• Design and develop solutions using approved low-code technologies.
• Configure AI agents, workflows, forms, approvals, and knowledge repositories.
• Leverage Microsoft Copilot Studio, Power Automate, Power Apps, SharePoint, Dataverse, and Microsoft 365 Copilot.
• Ensure solutions are fully documented and aligned to governance requirements.
• Track and report on productivity gains, risk reduction, process improvements, and cost savings.