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.

Required
•    5–7 years of combined hands-on experience in RPA (e.g., UiPath, Power Automate, WePath), process automation, and/or AI tool development in an enterprise environment.
•    Proven track record of automating end-to-end business processes, including integration with ERP and enterprise platforms.
•    Demonstrated ability to take automation and AI solutions from proof-of-concept through to globally standardised, production-grade deployment.
•    Strong expertise in RPA, automation tool development, and AI solution integration, including prompt engineering and AI-powered workflow design.
•    Deep understanding of software development and release practices, including CI/CD pipelines, version control, and Application Lifecycle Management (ALM).
•    Experience in data modeling, architecting, and documenting automation solutions.
•    Ensure coding methodologies and best practices are followed across all automation development activities.
•    Strong capability to translate complex business processes and requirements into automation and AI-ready technical specifications and solutions.
•    Solution ownership mindset with full accountability for automation lifecycle management, including performance monitoring and continuous improvement.
•    Experience mentoring or technically leading junior team members, with strong communication and knowledge-transfer skills.
•    Excellent analytical and problem-solving skills with the ability to work independently and drive outcomes in a complex, global organisation.

•    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