Serve as a technical developer and executer for various Intelligent Automation (IA) and Analytics initiatives
Develop and implement databases, ETL processes and/or other projects that optimize processes in collaboration with the project or product team
Develop data visualizations or canvas driven apps using aesthetic design principals that improve the end user experience
Work with the project or product team to translate business requirements into automated business intelligence or process optimization solutions
Contribute to business intelligence and intelligent automation solution testing activities
Develop understanding of business processes, underlying data, data structures, intelligent automation technology, and business uses of data, tools, and processes
Provide end user support, deliver training, and create and maintain process and technical documentation
Provide guidance to production support by delivering back up training and assisting with root cause analysis and break / fix
Identify opportunities for continuous improvement, scalability, and/or standardization
Participate in sprint planning, sprint sizing and daily standups with the project or product team
Ensure GBS IA standards, best practices, and controls are implemented and followed
Development AI/GenAI projects leveraging AWS and LLMs
Qualifications:
Undergraduate degree required; Computer Science, Computer / Software Engineering, Statistics, Business Analytics or Data Science degree preferred
5+ years of development experience in Business Intelligence, Analytics and/or Process Automation
Demonstrated experience with programming languages such as VBA, Python and/or R
Strong analytical, technical, critical thinking, data oriented, innovative, and problem-solving skills, and able to understand complex customer needs to help create solution designs
Excellent communication and relationship skills, especially the ability to articulate technical topics; both verbal and written
Demonstrated interpersonal skills and the ability to interact effectively with diverse groups of project and product teams
Strong attention to detail (the advancement of intelligent automation and analytics capabilities requires high degree of accuracy and quality)
Ability to work in a dynamic environment and adhere to tight deadlines
Preferred Skills:
Demonstrated experience with AWS, LLMs, and Python
Experience with systems and platforms like SAP ERP (ECC and/or S4), SAP Hana, SAP Ariba and/or Snowflake
Experience working with tools or technology such as Automation Anywhere, OCR, and/or Chatbotsor other automation or machine learning technology
Experience working with the Power Platform (PowerApps, PowerAutomate, PowerBI)
Experience with Agile tools such as Azure DevOps or JIRA and Agile principles such as story sizing
Global experience; exposure to regional and business unit management teams, experience in organizational transformation projects, and/or experience in shared services organizations are a plus