Vaibhav Agrawal

With over 20 years of techno-functional expertise in the banking sector, I am recognized for my proactive, results-driven approach and exceptional problem-solving abilities. As a seasoned leader, I have successfully managed diverse teams across Mumbai, Hyderabad, and the USA, with a focus on talent development and retention. Currently, as the Delivery Lead for the Robotics Automation team at JP Morgan Chase, I oversee the automation of HR, audit, and legal processes, driving efficiency and innovation. My skills in project management, stakeholder engagement, and resource management are complemented by my technical proficiency in C#, Java, Python, UiPath, Alteryx, and Tableau, which I leverage to deliver impactful solutions.

• Automation Leadership: Led the development of over 60 RPA workflows at JPMorgan, saving 135+ FTEs and reducing costs by 25%, enhancing efficiency in HR, Audit, and Legal departments.
• Team Development: Managed and mentored a team of 7 RPA developers, fostering a culture of innovation and continuous improvement.
• Project and Client Success: Successfully migrated legacy compliance applications to strategic solutions, achieving a 95% client satisfaction rate and ensuring alignment with business goals.
• Regulatory Compliance: Implemented Anti-Money Laundering applications and tools across multiple countries, ensuring regional compliance and managing MAS-related activities.
• Technical Savvy: Technologically savvy with experience in C#, Java, Python, UiPath, Alteryx, and Tableau, delivering innovative solutions and improving operational efficiency.
• Cross-Regional Management: Managed teams and support across multiple global locations, onboarding over 40 regulatory applications.
• Process and Risk Management: Enhanced processes and compliance, leading risk and disaster recovery activities to ensure business continuity.
• Awards and Recognition: Received multiple awards, including the Impact Award for Process Excellence (2018, 2022), CT Excellence Award for Client Impact (2022), and Automation Champion Finalist (2023).