Senior Manager, AI Platform & Delivery

## Senior Manager, AI Platform & Delivery Apply locations:
Chicago, Illinois time type:
Full time posted on:
Posted Todayjob requisition :
RThe Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S., supporting over 23,000 healthcare professionals and team members at more than 1,150 locations across 48 states. Our five supported healthcare practices operate under the brands Aspen Dental, Clear Choice, Well Now, Chapter Aesthetic Studio, and Lovet. We’re committed to enabling healthcare professionals to focus on patient care while we handle the business operations that support them.

We are seeking a Senior Manager of AI Platform & Delivery.

Our Platform Engineering organization — spanning Delivery, Cloud, and SRE — is expanding its leadership bench as the company scales its adoption of AI. We’re hiring a Senior Manager, AI Platform & Delivery to lead the teams that build and operate the foundation every team uses to work with AI safely, reliably, and productively; built on Google Cloud and anchored by our two flagship enterprise AI platforms:
Claude Enterprise and Google’s Gemini Enterprise Agent Platform (formerly Vertex AI).In this role you’ll own two closely related charters:
* ** AI Platform:
** the strategy, roadmap, operation, and governance of our enterprise AI platforms, the surrounding ecosystem of plugins, connectors, and marketplace extensions, and the agents, tooling, and paved paths that turn AI from a novelty into everyday infrastructure.
* ** Delivery:
** leading the Delivery function that ships platform capabilities to the rest of engineering, ensuring teams get reliable, well-paved paths to build on.

You’ll lead a team that includes AI Platform Engineers and Delivery engineers (both mentoring and growing the team) while setting technical direction, owning operational excellence, and partnering across Security, IT, and the business. This is a hands-on leadership role: you’ll spend most of your time leading people and shaping strategy, while staying close enough to the technology to make sound architectural and operational calls.

This is a strong fit for an engineering leader who has built and run high-performing platform, Dev Ops, SRE, or MLOps teams, is energized by AI enablement, and wants to own an emerging AI platform end to end from provisioning and onboarding through operations, governance, and adoption at scale.
** What you'll do
**** Team Leadership & People Management
*** Lead, coach, and grow a team of AI Platform and Delivery engineers through hiring, onboarding, performance management, and career development.
* Set clear goals and priorities, foster a healthy, inclusive, high-trust team culture, and create the conditions for engineers to do their best work.
* Balance hands-on technical involvement with delegation, empowering the team to own systems end to end.
** AI Platform Operations Strategy & Roadmap
*** Own the vision, strategy, and roadmap for our enterprise AI platforms (Claude Enterprise and Gemini Enterprise) on Google Cloud, increasingly through the Gemini Enterprise Agent Platform (formerly Vertex AI).
* Prioritize across competing demands (adoption, reliability, cost, security, and governance) and communicate trade-offs clearly to leadership and stakeholders.
* Set direction for the surrounding ecosystem: plugins, connectors, MCP integrations, and the internal marketplace of approved extensions, agents, and integrations (Agent Garden, Model Garden).
** Software Delivery Leadership
*** Own the software delivery platform and toolchain end to end. This includes source control and CI/CD (Git Lab, Git Lab CI), Git Ops-based continuous delivery (ArgoCD), and deployment orchestration (Spinnaker), and set the standards teams build, release, and ship on.
* Drive secure-by-default, standardized pipelines and Git Ops workflows: least-privilege service accounts, keyless auth (Workload Identity Federation), reproducible deploys, and progressive delivery (canary, blue/green) with safe, fast rollbacks across GKE and Cloud Run.
* Lead the Delivery function so platform capabilities and paved paths ship reliably and predictably to…