Enterprise AI Assistant Product Manager (Local / Hybrid)

Vanderbilt University Medical Center•Nashville, TN

21h•Hybrid

About The Position

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.

Requirements

Bachelor’s degree in Information Systems, Business, or a related field. Additional years of relevant experience may be accepted in lieu of a degree.
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.
Strong ability to set direction, prioritize initiatives, and make trade-off decisions tied to measurable business outcomes.
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.
Ability to define consumption metering and optimization programs across multiple platforms and to interpret usage data for cost and value decisions.
Understanding of AI governance, risk, and compliance practices, including defining approved-use conditions aligned to healthcare regulatory requirements.
Excellent written and verbal communication with the ability to translate complex technical concepts for business and executive audiences and to lead cross-functional initiatives without direct authority.
Enthusiasm for the rapidly evolving AI landscape, with a commitment to continuous improvement of products, standards, and processes.

Nice To Haves

Microsoft certifications such as Microsoft 365 and AI Services Administrator Associate and AI Agent Builder Associate.
Cloud FinOps certification (e.g., FinOps Certified Practitioner).

Responsibilities

Set and maintain direction and priorities for enterprise AI assistant platforms (Copilot Premium, Claude Enterprise, and successors), communicating trade-offs to stakeholders and leadership.
Continuously assess new AI platform features, models, and licensing changes, deciding what to adopt and when to maximize value while managing risk and cost.
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).
Translate business needs into requirements and integration standards. Contributes to a governed catalog so business teams can discover, request, and adopt approved AI capabilities.
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.
Define usage metrics and reporting that surface cost drivers to leadership and identify opportunities for cost avoidance and license reallocation.
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.
Participates in AI governance activities, approved-use conditions, and risk framing to ensure alignment with organizational policies, maintaining supporting standards and documentation.
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.
Own adoption outcomes through champions communities, guidance, and enablement materials so users get value from AI assistant platforms while following approved practices.