Top Job Roles in RPA Technology
Author: Saurav Revankar
The digital world is seeing the rapid growth in RPA technology as well as RPA career opportunities. RPA is one of the top business opportunities that organizations will come across and automation experts are now joining the RPA movement to help them manage growth, risks, and costs.
RPA enables businesses from all verticals to automate repetitive tasks which helps freeing IT staff up to work on more value-added projects that drive real business value. RPA technology automates repetitive tasks by analyzing user actions using pre-built rulesets, which means users can quickly automate quite complex processes on a low-code platform.
There are not many people who have experience in RPA so it's easy for companies to build teams around RPA with fresh faces that are capable of RPA. RPA is an evolving technology with many exciting new technologies entering the market all the time. RPA developers need to constantly keep up-to-date with technology trends if they are to remain relevant in this competitive market.
There are different roles involved in making a project ready to deliver to the client, so here are four important roles:
RPA Developer is responsible for developing code for RPA projects using RPA tools such as Automation Anywhere, UiPath, BluePrism, etc. RPA Developer is a member of the core automation team and the developer is required to communicate across teams to ensure that the flow of the code is in sync if multiple developers are working on the same project. RPA developers are expected to have problem-solving and programming skills to solve day-to-day problems. A developer should have knowledge of any programming language to make learning RPA easy, also he/she should have the ability to integrate different technologies.
AI lead is involved in many things such as building competency tools, exploring different tools for development or tools which can be integrated with RPA tools such as UiPath, Automation Anywhere, etc. AI lead is also responsible for building solutions for projects and training people. AI lead is a center of the automation team with tasks involving discovering projects with clients, setting best practices during getting projects ready, assigning tasks to developers and guiding them during the development phase, reviewing code once it is completed. AI leads might be also involved in pre-sale activities which include handling RFPs, providing POC to clients, and showing clients working demos.
A business analyst works with customers, managers, and technical personnel to develop system requirements that ensure that work processes are effective. Business analysts understand the needs of clients as well as the capabilities of the organization. The business analyst analyzes organizational goals, needs, values, capabilities, and constraints to help design current workflow models as well as future ones. A business analyst is also responsible for the documentation of projects which may include creating flow diagrams as well to understand the process.
The technical support person is responsible for day-to-day monitoring and scheduling RPA bots in production. This role requires a good understanding of bots and its working. The support person should technically do the analysis and evaluate the business incident. They are also responsible to provide effective solutions by interacting with the business/client team. The support person is expected to create and maintain documentation of daily health checks and troubleshooting of bots. The role also includes testing of bots in the QAT environment, whenever any changes to any applications are done.
Many businesses are looking for opportunities to automate their manual processes, and RPA is a perfect choice for them. As the trend of the RPA is increasing, companies are also looking to hire new faces for different RPA roles. If you are interested in making a career in RPA then Tangentia is a perfect place to learn and grow.