Lead enterprise ERP and CRM implementations from proposals to production, coordinating vendors, controlling quality, risk and profitability, and developing PM standards.
About this role
JBS’s RPA team helps customers automate operations while reconsidering the processes behind them. The opening combines hands-on development with project or on-site leadership for customers including a trading company, coffee chain and vehicle manufacturer.
Work uses RPA and supporting tools such as VBA and PowerShell. The engineer handles proposals and customer discussions, supports members, makes project decisions and manages delivery. For customer automation requests, the role leads interviews, requirements, schedules and improvement initiatives. Tool examples include BizRobo!, Automation 360 and Microsoft platforms. The focus includes difficult final steps of day-to-day workflows, with solutions chosen to suit the actual task.
Applicants need at least three years as an IT engineer, plus RPA development leadership or proposal experience, and knowledge and implementation experience with a specific RPA product.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.
Similar jobs
Lead business-system implementation and process change with cloud ERP or CRM, translating customer issues into requirements, designs, delivery and operational improvements.
Develop enterprise web and mobile applications, from client requirements and architecture proposals through implementation, testing and operations.
Advise clients on data utilization through machine-learning services, shaping data strategies, identifying business questions, supporting education, and guiding implementation and review.
Data Scientist on SmartNews’s Ads Data Science team, leading product analytics, A/B testing, causal analysis, and analytical pipelines to guide ad-product decisions across JP and US markets.
Analyze supply-chain and customer-experience data, build dashboards and analytical models, and use SQL, Python and visualization tools to guide Amazon Japan product decisions.