Business Operations Transformation & AI Principal

Job Description

REQUIREMENTS

• Bachelor’s degree in Computer Science, Engineering, Operations Management, or a related field.
• Post-Graduate education or formal training / certification in Artificial Intelligence, Machine Learning, or Data Science.
• 3+ years of experience in automation and AI technologies such as Robotic Process Automation, intelligent document processing, conversational AI, agentic AI, and generative AI applications.
• 3+ years of experience streamlining and automating sales processes (opportunity management, client vetting, pricing, contracts, compliance, client onboarding) using CRM and other integrated tools.
• People leadership, with the ability to inspire, mentor, and align teams around innovation and execution.
• Experience improving operational efficiency, reducing manual toil, and enhancing the employee and patient experience through automation.
• Corporate execution focus — expertise in navigating matrixed organizations, building consensus, and driving measurable outcomes in a large enterprise environment.
• A talent for simplifying technical concepts and fostering understanding across both business and technical team members.

RESPONSIBILITIES

• Strategy & Leadership: Define and lead the automation and AI strategy for Operations. Establish a roadmap that reduces implementation times and improves efficiency. Serve as the senior leader for automation and AI within Operations, representing needs with enterprise technology and vendor partners.
• Execution & Delivery: Build and manage automation and AI capabilities (RPA, chatbots, agentic AI) where relevant. Promote a prioritized pipeline of automation/AI use cases with measurable impact. Operationalize standards, best practices, and governance for automation and AI solutions.
• Collaboration & Influence: Partner with Operations leadership to identify pain points. Influence enterprise and tool governance decisions to ensure Operations needs are met.
• Enablement & Adoption: Oversee training, communication, and change management for AI/automation adoption. Champion user enablement and citizen development. Build awareness of automation successes and foster a culture of innovation.
• Measurement and Outcomes: Manage process orchestration inventory & maps and measure process effectiveness to standardize approach and inform automation pipeline. Define and track goals, including implementation time reduction, manual toil eliminated, user adoption, and financial impact. Report progress and Return on investment to Operations and Auto leadership.

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