Job Description:
- Analyze business processes, identify potential automation opportunities, and propose a plan of RPA strategy. Analyze and document complex business processes (AS-IS and TO-BE) for targeted processes.
- Work closely with end users in identification of end-to-end business requirements, functional design, and process design.
- Define RPA value proposition (perform value analysis (ROI) for the processes) and re-engineer processes to improve automation potential.
- Identify scope, benefits, constraints, and risks for RPA automation initiatives, capture and document current state manual processes. Create the process design document (PDD: keystroke level process map) and solution design document (SDD) in detail.
- Providing solution proposal by checking scalability of current architecture and involving intelligent automation technologies like AI/ML/NLP/RPA.
- Support the design, development and testing of RPA processes. Develop software modules in line with coding standard (where applicable). Participate in the evaluation and testing of hardware and software platforms Adopt Agile delivery methodologies to speed up user feedback cycles and E2E delivery timelines.
Knowledge and Skills Requirements (RPA):
- Knowledge of automation and robotic technologies and spectrum of best practices and standards including exposure to RPA/AI/ML/OCR/ICR/NLP.
- Operational familiarity in the use of leading commercial vendors or tools/platform that relate to RPA (Blue Prism, Automation Anywhere, UiPath etc), OCR (Abby, IBM Datacap etc) or AI/ML tools.
- Strong analytical skills, coupled with a logical, disciplined and structured approach to documentation and procedures. Ability to translate requirements into processes and controls.
- Certifications related to RPA, Applicable Vendor or Industry certification is preferred not mandatory.
- Understand/exposed to a variety of software development approaches and methodologies including Agile and Waterfall. Experience in both architecture and implementation-level software design.
Qualification:
- A Bachelor’s degree in any data management analysis, computer science, computer engineering, statistics, or other IT-related field.
Experience:
- 04 to 07 years of relevant experience
