Sr. Manager, Applied AI

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The Sr. Manager, Applied AI is responsible for leading the identification, development, and deployment of AI-enabled solutions across the enterprise. This role operates at the intersection of business operations, technology, and innovation, with a primary focus on applying AI to boost growth, improve revenue and efficiency, reduce cost, and enhance decision-making across key functions.

This is a hands-on leadership role. The Sr. Manager will act as both a builder and a leader, directly designing and implementing AI-powered workflows while guiding the development of a small, high-impact team. The role partners closely with executive leadership and functional teams across Operations, Clinical, Finance, Compliance, and HR to translate business challenges into practical, scalable AI solutions.

This position is not focused on research or model development. Instead, it is centered on pragmatic application of AI tools, automation, and system integrations to drive measurable business outcomes.

Principal Responsibilities:

AI Opportunity Identification & Prioritization Conduct structured discovery across business functions to identify high-impact AI and automation opportunities

Develop and maintain a prioritized backlog of initiatives based on business value, effort, and risk Build business cases that connect AI solutions to measurable outcomes such as cost savings, efficiency gains, and risk reduction

Partner with executive stakeholders to align priorities with organizational goals

Solution Design & Hands-On Delivery Design, build, and deploy AI-enabled workflows, including prompt-based solutions, re-usable AI skills, automation pipelines, and system integrations

Act as a primary builder for initial solutions, developing proofs of concept and scaling successful implementations

Evaluate and select appropriate tools and platforms based on business needs and organizational scale

Integrate AI solutions with enterprise systems such as ATS platforms, Workday, CRM systems, and other operational tools

Rapidly prototype, test, and iterate on solutions to deliver value quickly

Applied AI Execution & Scaling Lead execution of AI initiatives from concept through deployment and adoption

Establish repeatable frameworks for deploying AI solutions across functions

Identify opportunities to standardize and scale successful use cases

Ensure solutions are maintainable, scalable, and aligned with business workflows

Governance, Risk & Compliance Establish and maintain governance frameworks for AI usage, including data privacy, compliance, and auditability

Ensure AI solutions meet regulatory and internal policy requirements, particularly in a healthcare and compliance-driven environment

Partner with Legal and Compliance teams to define acceptable use policies and risk mitigation strategies

Ensure outputs are explainable, defensible, and aligned with business and regulatory expectations

Stakeholder Engagement & Business Partnership Partner with leaders across Operations, Clinical, Finance, HR, and Compliance to understand business challenges and co-develop solutions

Translate complex technical concepts into clear, business-relevant insights and recommendations

Communicate progress, outcomes, and ROI of AI initiatives to executive leadership

Drive alignment between business needs and technology capabilities

Team Leadership & Development Manage and mentor a small team of AI practitioners, starting with one direct report and scaling as ROI is demonstrated

Foster a hands-on, builder-oriented team culture focused on delivery and impact

Support skill development in AI tools, automation, and process design

Participate in hiring and team expansion as the function grows

Adoption, Training & Change Management Drive adoption of AI solutions through training, enablement, and stakeholder engagement

Develop documentation, guides, and best practices to support sustained usage

Establish feedback loops to continuously improve solutions and user experience

Ensure solutions are effectively embedded into day-to-day…