Head Of Intelligent Automation Software Engineering
CurrentResponsible for leading a large software engineering team charged with providing Intelligent Automation solutions to several key Lines of Business (LOBs) and to the bank's critical enterprise business functions. Leverage RPA, IDP, and other emerging AI technologies to improve business efficiencies and enhance speed-to-market of solution delivery in order to support Truist's enterprise digital transformation efforts.Key Contributions/Accomplishments:Manage a team of 26 developers and testers charged over two Scaled Agile development teamsHave overseen the automation of multiple critical enterprise processes since the start of my tenure with the bankPerformed a gap assessment of Truist talent and processes within the first 90 days of the role to determine a roadmap to get to Intelligent Automation best practices within the space as it concerns governance, artifacts, risks, controls, policies, procedures, etc. Formalized the automation code review process for IA solutions in order to heighten overall automation development standards, increase overall development quality, provide an artifact for audit and regulatory review, and evolve the development culture from development work to a development practiceDeveloped a multi-faceted IA communication plan for the program meant to help with IA engagement and education throughout the enterpriseOpined upon and provided feedback on critical IA governance standards and procedures and initiated the development of an enterprise-level Truist IA Development Standard Designed the initial scorecard and format in order to select an Intelligent Document Processing (IDP) platform for the Intelligent Automation programWas nominated for a Truist Performance Award, an honor only provided to the top 1% of company talent, after only being in the role for ten months