Senior AI Product Manager - Healthcare Data (Remote)

BlackCube Labs

Chicago (IL)

Hybrid

USD 132,000 - 250,000

Full time

8 days ago

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Benefits offered by this job

Medical, Dental and Vision – Coverage

401(k) Plan – includes company match

Discretionary Bonus Program

Paid Time Off (PTO)

Holidays – 10 observed

Family Building Benefits

Paid Parental Leave

Life Insurance & AD&D

Short-Term and Long-Term Disability

Job summary

Milliman’s CMH Health practice seeks a Senior AI Product Manager to turn challenging workflows into reliable software and guide engineers in AI-assisted development. You will own technical direction for cross-system workstreams, working with product owners, engineers, and healthcare SMEs to make sound architectural decisions and strengthen verification and release practices.

This technically engaged leadership role requires examining code, investigating production behavior, and building reusable

Qualifications

Bachelor’s degree in Computer science, Engineering, or a related field.
At least six years of relevant experience in software engineering, data-intensive systems, platform engineering, or closely related work.
At least six months in responsibilities comparable to this role, including technical direction, delivery ownership, and developing others.
Strong production-software engineering skills, with the ability to inspect, debug, and improve implementations—not just describe proposed solutions.
Experience designing and operating cloud-based systems on Azure or a comparable platform, including deployment, identity and access, observability, and operational reliability.
Strong understanding of SQL, data modeling, APIs, and cross-system integration.
Demonstrated judgment about testing, data integrity, security boundaries, failure modes, and the evidence needed before releasing a change.
Practical experience using AI-assisted development tools, with a disciplined approach to validating their output.
Evidence of leading substantial technical work through delivery while managing dependencies, scope, and stakeholder expectations.
Clear written and verbal communication, constructive technical pushback, and a record of helping other engineers become more capable.
Curiosity about the business behind the software and a willingness to learn complex healthcare and actuarial workflows.

Responsibilities

Lead pragmatic architecture and integration. Design service boundaries, APIs, data models, and integrations that balance reliability, security, performance, cost, and maintainability.
Turn business needs into executable technical plans. Work with product owners and domain experts to clarify requirements, identify dependencies, and sequence small, testable increments.
Own technical delivery commitments and raise scope, budget, or timing risks early.
Build verification into delivery. Strengthen automated tests, data-quality controls, regression checks, and AI evaluation practices.
Ensure evidence demonstrates that the complete workflow works—not just that individual components run.
Improve production readiness and operability. Establish practical deployment, monitoring, rollback, and support practices.
Investigate recurring failures and reduce manual intervention through targeted engineering improvements.
Make AI-assisted engineering effective and accountable. Guide the use of coding agents and other AI tools, including context management, generated-code review, evaluation, and appropriate human oversight.
Measure improvements in complete delivery outcomes rather than code volume.
Create reusable engineering capabilities. Improve shared patterns and tooling where they solve demonstrated needs.
Help teams adopt them without introducing unnecessary abstraction or approval bottlenecks.
Develop independent engineers. Delegate meaningful ownership, review designs and implementations, provide timely feedback, and coach others through difficult technical decisions.
Connect engineering decisions to user outcomes. Stay close to consultants and users, support rollout and adoption, and explain technical risks clear.