This role involves interfacing with all ITS teams (i.e., Enterprise Applications, Systems, User Services) and some occasional functional departments. This position is responsible for the implementation and post-production support of the new service management tool, ServiceNow. The incumbent will work closely with the ITS Leadership team and other functional experts as directed to guide the configurations, feature adoption, and ongoing maintenance of ServiceNow. Other responsibilities may involve conducting trainings, maintaining the knowledge base, optimizing ServiceNow and chatbot functionalities, and other duties as assigned.
Duties and Responsibilities
Lead the implementation and postproduction support of ServiceNow in close collaboration with the ITS Leadership Team and functional experts as directed
Collect and document application and security requirements of ServiceNow
Document integration requirements and collaborate with integration architects to build, test, deploy, and support integrations with ServiceNow
Collaborate with Information Security to secure ServiceNow and its portals
Configure and optimize the ServiceNow chatbot features with a modern, user-friendly experience
Develop and maintain the overall architecture and framework for the ServiceNow platform.
Translate business requirements into technical specifications and high-level designs.
Oversee the configuration, development, and deployment of ServiceNow functionalities, including scripting and customizations, while aligning and collaborating with the Change Advisory Board for proper change management activities.
Regularly review system performance, configuration, and design for continuous improvement opportunities to cease automation and identify ways to streamline operations
Requirements
Bachelor's or Master's degree in data science, Computer Science, or related field, or an equivalent combination of experience, education, and training
Experience with ServiceNow or a similar tool strongly preferred
Familiarity with Informix, Postgres, MySQL, and similar databases
Familiarity with Azure, AWS, and other types of cloud storage