Join Optum, a global leader in health optimization, and drive innovation in AI/ML engineering. We are seeking a Senior Manager to lead the strategy and execution of Virtual Workspace AI and Automation initiatives. Your work will directly impact healthcare outcomes by connecting individuals with the resources they need. Embrace a culture of inclusion, collaboration, and continuous growth while making a tangible difference.

This role offers the opportunity to shape the future of enterprise digital workplaces through advanced AI and automation solutions, fostering productivity and enhancing user experience. You will be instrumental in advancing Optum's mission to help people live healthier lives and improve the efficiency of the healthcare system.

Lead the development and implementation of Virtual Workspace AI and Automation strategies to enhance enterprise digital platforms. Establish and manage a team focused on deploying AI-powered solutions for automation across various workspace technologies like Citrix and Azure Virtual Desktop. Collaborate with cross-functional teams to identify high-value AI use cases, improving service quality and reducing operational costs. Leverage cutting-edge AI technologies, including Generative AI, LLMs, and Azure AI Services, to build scalable automation solutions.

Drive adoption of software engineering best practices, such as Infrastructure as Code and API-driven automation. Create operational analytics solutions to transform telemetry data into actionable insights. Ensure adherence to Responsible AI frameworks, prioritizing security, privacy, and ethical standards. Build and nurture partnerships with technology vendors and internal AI organizations. Measure and communicate business outcomes, including productivity gains and cost savings.

Develop and manage the AI and Automation roadmap, aligning with organizational objectives. Recruit, mentor, and develop engineering talent, fostering a culture of innovation. Present strategic recommendations and program updates to senior leadership. Comply with all company policies and directives.

A Bachelor's degree in a relevant field or equivalent experience is required. Candidates should possess 7+ years of experience in engineering, infrastructure, software development, automation, or technology leadership, with at least 3 years in a management role. Proven experience in designing and implementing enterprise automation solutions using Python, PowerShell, REST APIs, or similar technologies is essential.

Demonstrated experience with AI technologies like Generative AI, LLMs, Microsoft Copilot, Azure AI Services, or machine learning platforms is critical. Experience leading cloud-based initiatives in Azure and/or AWS environments is also required. Strong understanding of enterprise security, compliance, and risk management, coupled with excellent communication and executive presentation skills, are key to success in this role.