RPA Manager at Wipro Ltd.

Job Purpose:

• The Project Manager is responsible for the overall planning, implementation and tracking of an automation project using an automation product.

Roles and Responsibilities:

• Creates a detailed work plan (project plan) which identifies and sequences the activities needed to successfully complete the Automation.
• Drive regular project meetings & ensure adherence to project milestones.
• Track project meeting minutes and follow up diligently on action items till closure.
• Mange resources with efficient tracking and utilization.
• Track risks/issues and escalate as needed to senior management.
• Manage discussions with required stakeholders for application access, test data, BOT IDs, sign-off etc on time and follow up till closure.
• Performs Quality Control via reviews of the design created by Functional Consultant and Tech Architect.
• Track quality and delivery metrics along with key KPIs like AHT, BOT utilization, FTE Capacity creation etc.
• Reviews the quality of the work completed with the project team on a regular basis to ensure that it meets the project standards.
• Responsible for receiving the sign-off on the design, UAT and Hypercare from the customer.
• Establish working relationships and routinely interface with project sponsors, business stakeholders & technology partners.

Must Have Skillset and Experience:

• Should have minimum 5+ years of project management experience with minimum 2+ years of experience in RPA Project Management.
• Should have familiarity with various RPA tools (AA/BP/UiPath) etc used in a typical RPA program.
• Experience in project management tools like MPP, Jira, Confluence, etc.
• Experience in handling Agile/Waterfall based development projects.
• Should have good experience in managing large development programs end to end.
• Good communications skills, with customers, team, and stakeholders.

Good to have skillset and Experience:

• Project Management experience in application development projects.
• PMP Certified is added advantage.
• Technical understanding of RPA Platform architecture and product features.
• Current Technological landscape understanding and stays abreast of current RPA and AI technology.
• Investment Banking(Back Office)