VP, Engineering (AI / ML)

VP, Engineering

Industry
AI / ML
Capital
$35 M
Team Size
60

By the Numbers

203
Identified
84
Vetted
19
Introduced
1
Placed

The Challenge

As the VP of Engineering, the executive will be instrumental in leading and evolving our platform organization to power the company’s next phase of growth. Reporting directly to the CEO, the leader will oversee globally distributed engineering and delivery teams responsible for building and scaling the healthcare-first analytics and AI platform, ensuring enterprise-grade reliability, performance, and extensibility. The VP of Engineering will collaborate closely with the product, AI research, customer success, implementation, and go-to-market teams to define the platform roadmap, prioritize use cases, and deliver capabilities that translate into real-world impact for payers and providers.

The Mandate

Attributes
Ideal
Industry Experience
Complex healthcare data-sets (interoperability, prior Auth, etc)
Data Experience
AI platform / multi-use case
Customer Type
Enterprise deployment with payors AND providers
Technical Expertise
Platform in general, ideally HC (coding + roadmap + architecture)
Platform Roadmap
Data + applications + core platform
Product Managment
Built platform
Engineering Roadmap
Developing and executing on short and long-term in mult dimensions (>50% of time to roadmap vs maint.)
Delivery Velocity
Usually ahead of plan, even with competing deadline environments
Team Oversight
Experience building and managing small, nimble teams both on-shore and off-shore
Customer Interaction at Deployment
Thought partner to entire senior leadership team (C-Suite, incl CEO)
Culture
Demonstrated experience in building and improving strong company cultures

The process as a whole was very strong. I really appreciate all the effort from the AQP team who have been super engaged. AQP are great partners, if we have any needs in the future, we're obviously going to call them.

CEO / Co - Founder

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