Application Development & Support Senior Analyst

The Senior RPA, Automation & AI Analyst is a senior technical specialist within the ERP Tech Factory's Automation Factory pillar, accountable for driving process automation and operational efficiency across the global enterprise. This role leads the end-to-end design, development, and deployment of scalable Robotic Process Automation (RPA), broader automation solutions, and AI-powered tools that eliminate manual effort, reduce error rates, and accelerate business process performance.
Acting as the technical lead for automation and AI initiatives, this role owns architectural decisions, defines development standards and reusable frameworks, and ensures solutions progress from proof-of-concept through to globally standardised, production-grade deployments. The Senior Analyst mentors junior team members, leads technical reviews, and actively partners with ERP Second Level Support, Third-Level Support Engineers, and Software Development/Platform Engineers to ensure automation solutions are aligned with platform architecture and business priorities.
As a senior contributor to the ERP leadership ecosystem, this role is expected to proactively identify and prioritise automation and AI opportunities, build compelling business cases, and drive measurable outcomes in the context of the organisation's Run, Enhance, and Converge operating model.

Automation & AI Solution Design & Delivery
•    Lead the end-to-end design, development, and deployment of complex RPA, automation, and AI-powered solutions across business functions and ERP/enterprise platforms.
•    Own architectural decisions for automation and AI solutions, ensuring scalability, maintainability, and alignment with enterprise technology standards.
•    Drive adoption of automation and AI solutions across business functions, partnering with stakeholders to embed tools within operational workflows.
•    Manage the full automation and AI solution lifecycle from ideation and requirements gathering through build, testing, deployment, and post-launch optimisation.
•    Evaluate and recommend appropriate automation and AI platforms, tools, and technologies (e.g., UiPath, Power Automate, WePath, GenAI tooling) to address business requirements.
Scalable Asset Development & Governance
•    Build and maintain a library of reusable automation components, AI solution assets, and standardised development templates that accelerate delivery across the team.
•    Define, document, and enforce development standards, coding best practices, and reusable frameworks for the Automation Factory.
•    Ensure all automation and AI solutions are governed through appropriate version control, documentation, and release management practices, including CI/CD pipeline integration and ALM tooling.
•    Conduct technical reviews and quality assurance of automation and AI solutions developed by junior team members, ensuring adherence to standards and design integrity.
•    Monitor deployed automation and AI solutions for performance, reliability, and error rates; lead root-cause analysis and remediation for failures.

•    Automation coverage rate – percentage of eligible manual processes successfully automated
•    Automation execution success rate – bot/solution run success vs. failure rate across deployed automations
•    Development time-to-deliver – average elapsed time from approved scope to production deployment
•    Manual error & rework rate reduction – measurable decrease in manual processing errors attributable to automation
•    Solution reuse rate – percentage of new automations built using shared components or reusable assets
•    Mentoring & knowledge transfer effectiveness – progression of junior analysts and team capability uplift over time
•    Business case accuracy – alignment of realised ROI to projected savings and efficiency gains