RPA Process Engineering Authority

Job Description Summary The Global Process Engineering Authority - Robotic Process Automation (RPA) will partner with the Global Process Engineering Leader (GPEL) and cross-functional stakeholders to design, develop, and deploy enterprise-grade RPA software solutions across GE Gas Power's Global Supply Chain. This role serves as the organizational authority and subject matter expert for RPA technology and intelligent automation, driving the automation of repetitive, high-volume business processes - including data collection, workflow management, and automated reporting - to improve operational efficiency and accelerate GE Gas Power's digital transformation agenda. The ideal candidate brings deep expertise in leading RPA platforms, strong programming fundamentals, and a demonstrated ability to translate complex business processes into scalable, maintainable automation solutions. Operating in a global, matrixed environment, this authority-level role will collaborate across manufacturing, supply chain, IT, and finance functions - spanning multiple regions and time zones - to deliver measurable business value through intelligent automation. Job Description Roles and Responsibilities Design & Development • Architect, build, and implement automation workflows and software bots using enterprise RPA platforms (UiPath, Blue Prism, Automation Anywhere) • Design scalable, reusable automation components applicable across global manufacturing and supply chain sites • Integrate RPA solutions with enterprise systems including ERP, MES, and data platforms via APIs and system connectors Process Analysis & Opportunity Identification • Analyze complex, cross-functional business processes within Supply Chain and Manufacturing to identify, evaluate, and prioritize automation opportunities • Utilize process mining tools (e.g., UiPath Process Mining, Celonis) to quantify inefficiencies and build the business case for automation • Gather and document detailed requirements from business stakeholders to ensure solutions meet operational needs Testing & Deployment • Lead end-to-end quality assurance, testing, debugging, and user acceptance testing (UAT) for all automation solutions • Deploy bots into production environments in accordance with IT governance, change management, and cybersecurity standards • Manage RPA Orchestrator environments to ensure reliable scheduling, monitoring, and execution of deployed bots Maintenance & Support • Monitor, troubleshoot, and continuously improve existing RPA solutions across the global automation portfolio • Manage SLAs and escalation procedures for critical production bots, ensuring minimal disruption to business operations • Proactively identify performance degradation or process drift and implement corrective actions Governance & Compliance • Ensure all RPA solutions adhere to enterprise cybersecurity policies, data privacy regulations, and IT architecture standards • Maintain version control and audit trails for all automation assets in alignment with compliance requirements • Serve as the global authority on RPA development standards, naming conventions, best practices, and platform governance frameworks Documentation • Produce comprehensive process documentation, technical specifications, solution design documents, and user guides • Maintain up-to-date documentation to enable knowledge transfer, audit readiness, and global scalability of automation solutions Pipeline & Portfolio Management • Maintain and prioritize an automation opportunity pipeline aligned with business value, strategic objectives, and resource capacity • Track and report automation KPIs - including hours saved, error reduction, cost avoidance, and ROI - to senior leadership • Lead the development and maturation of the RPA Center of Excellence (CoE) framework and governance structure across the global organization Collaboration & Stakeholder Engagement • Work closely with business analysts, project managers, IT architects, and operational teams across global manufacturing, supply chain, and finance functions • Communicate project status, risks, and outcomes clearly to both technical and non-technical stakeholders, including senior leadership • Partner with regional teams to support localization, deployment, and adoption of automation solutions across multiple geographies Training & Enablement • Support upskilling and capability building of regional and functional teams in RPA tools and automation best practices • Act as the global subject matter expert and internal authority for RPA and intelligent automation technologies, guiding strategic direction and technology selection • Coach and mentor junior team members and citizen developers participating in automation programs Additional Requirements • Requires a solid knowledge of mathematics, statistical methods, engineering methods and other principles of science and physics. • Assist in the integration of automation and AI into manufacturing systems that support Next Generation Supply Chain migration globally. • Engage design for SixSigma methodology (DFSS), including, measuring existing machine capability, analyzing process requirements, and developing a strategy to maintain / improve process yield. • Deploy lean principles, including, Transformation Planning, Value Stream Mapping, 3P, Total Productive Maintenance, Standard Work, Kaizen, Problem Solving, and Poka Yoke. Required Qualifications Education: Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field Experience: 5-7+ years of hands-on RPA development, deployment, and leadership experience in an enterprise environment RPA Platforms: Demonstrated proficiency with one or more enterprise RPA tools - UiPath, Automation Anywhere, Blue Prism, or Pega Orchestration: Hands-on experience with UiPath Orchestrator or equivalent platform for bot scheduling, monitoring, and lifecycle management Programming: Proficiency in one or more languages including Python, Java, C#, or .NET; familiarity with scripting languages System Integration: Strong understanding of APIs, relational databases, and enterprise system integration patterns Project Delivery: Familiarity with Agile/Scrum methodologies and experience delivering automation projects through a structured project lifecycle Soft Skills: Strong analytical, problem-solving, communication, and stakeholder management skills