Enterprise AI Assistant Product Manager (Local / Hybrid)

Discover Vanderbilt Health : With eight hospitals and over 180 clinics, we are the region’s largest comprehensive academic health system. Vanderbilt Health has a long tradition of providing world-class care to the people of the Mid-South, living out our mission of moving medicine forward through preeminent programs in patient care, education and research. Here you’ll find a spirit of collaboration and a supportive community where your expertise is valued, your knowledge expanded and your uniqueness celebrated. We are committed to fostering an environment where talented, compassionate people are united in bringing the most advanced care to our neighbors throughout the region. Organization: VUMC IT Enterprise Collaboration Platform Job Summary: The Enterprise AI Assistant Product Manager leads Vanderbilt Health's AI assistant platforms, including Microsoft 365 Copilot (Basic and Premium), Claude Enterprise, and other AI assistant and agent platforms as they are adopted. This role blends three disciplines: setting direction and priorities like a product owner, staying technically fluent enough to work shoulder-to-shoulder with engineering on architecture and integrations, and acting as a consultant who advises business, clinical, security, and finance stakeholders on the right AI solutions for their needs. Day to day, this role sets priorities and plans for the platforms, works directly with engineering to connect tools, agents, and data sources, builds the program for managing consumption and token spend across AI platforms, drives governance standards for Model Context Protocol (MCP) tools and connectors, and consults with business teams on AI solutions for their productivity needs. The mix of strategic planning, technical depth, and advisory skill allows this person to lead credibly across engineering, governance, and business audiences in an enterprise AI environment subject to HIPAA and other regulatory requirements. . KEY RESPONSIBILITIES Platform Direction & Priorities Direction Setting: Set and maintain direction and priorities for enterprise AI assistant platforms (Copilot Premium, Claude Enterprise, and successors), communicating trade-offs to stakeholders and leadership. Capability Evaluation: Continuously assess new AI platform features, models, and licensing changes, deciding what to adopt and when to maximize value while managing risk and cost. Tool & Data Integration Defining Tools to Platforms: Define how tools, agents, connectors, and enterprise data sources are surfaced through AI assistant platforms, directing engineering to publish agents to the appropriate stores and delivery surfaces (Copilot app, Teams, and elsewhere). Requirements & Catalog: Translate business needs into requirements and integration standards. Contributes to a governed catalog so business teams can discover, request, and adopt approved AI capabilities. Consumption & Token Spend Program Cost Program: Collaborate with other teams to build a program for managing consumption and token spend across multiple AI platforms, working with IT, Finance, and business owners to allocate and optimize spend. Metrics & Optimization: Define usage metrics and reporting that surface cost drivers to leadership and identify opportunities for cost avoidance and license reallocation. AI Governance Standards Connector Governance: Contribute to governance standards for Model Context Protocol (MCP) servers, tools, and connectors, helping to define how they are reviewed, approved, secured, and monitored before use with enterprise AI platforms. Policy & Standards: Participates in AI governance activities, approved-use conditions, and risk framing to ensure alignment with organizational policies, maintaining supporting standards and documentation. Advisory & Solution Consulting Business Consultation: Consult with business and clinical teams to understand productivity needs and recommend AI solutions, serving as the primary point of contact for stakeholders across security, governance, data, finance, and business units. Adoption & Enablement: Own adoption outcomes through champions communities, guidance, and enablement materials so users get value from AI assistant platforms while following approved practices. Qualifications Education Required: Bachelor’s degree in Information Systems, Business, or a related field. Additional years of relevant experience may be accepted in lieu of a degree. Experience (Senior / P3) Minimum of 6–8 years of experience in enterprise IT management, platform ownership, or technical program management for enterprise cloud, or collaboration/productivity platforms. Demonstrated experience setting direction and priorities for a platform or product and delivering measurable outcomes across a large organization. Experience with enterprise AI assistant platforms such as Microsoft 365 Copilot and/or Claude Enterprise, including licensing models, deployment, and adoption. Experience directing or closely partnering with engineering teams to deliver integrations, agents, or connectors (e.g., via Copilot Studio or Microsoft Foundry). Experience managing cloud or SaaS consumption and cost, including forecasting, metering, and optimization of usage-based or token-based services. Experience in a healthcare or other highly regulated industry, with an understanding of how HIPAA and related requirements affect platform and data governance, is strongly preferred. Skills & Competencies Planning & Prioritization: Strong ability to set direction, prioritize initiatives, and make trade-off decisions tied to measurable business outcomes. Technical Fluency: Enough hands-on understanding of enterprise AI assistant architectures, agent frameworks, Model Context Protocol (MCP), connectors, and data grounding to lead credibly and partner effectively with engineers. FinOps & Cost Management: Ability to define consumption metering and optimization programs across multiple platforms