Senior AI Product Manager (CMH Health)

BlackCube Labs; Chicago (IL); Hybrid; USD 132,000 - 250,000; Full time

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.

Skills

Technical leadership

Azure cloud

Data modeling

API design

AI tooling

Production software

Communication

Healthcare domain

Education

Bachelor's degree in Computer science/Engineering

Tools

Azure services

Databricks

Job description

Individual(s) must be legally authorized to work in the United States without the need for immigration support or sponsorship from Milliman now or in the future.

Milliman’s CMH Health practice is seeking an experienced technical leader who can turn challenging business workflows into reliable software—and help other engineers do the same.

As a Senior AI Product Manager you will own technical direction and deliver quality for assigned products or cross-system workstreams. You will work closely with product owners, engineers, and healthcare subject-matter experts to make sound architectural decisions, strengthen verification and release practices, and remove recurring obstacles to delivery.

This is a technically engaged leadership role, not a position focused primarily on meeting coordination or architecture documents. You should be comfortable examining code, investigating production behavior, and building critical components. Your broader impact will come from guiding engineers and AI-assisted development tools, creating reusable solutions, and developing stronger technical ownership throughout the team.

Job Responsibilities

• Lead pragmatic architecture and integration. Design service boundaries, APIs, data models, and integrations that balance reliability, security, performance, cost, and maintainability. Explain the tradeoffs and choose the simplest approach that meets the need.
• 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. Partner with the appropriate domain and control authorities to meet our quality and risk management requirements.

Minimum requirements

• 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 performing 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.

Competencies and Behaviors that Support Success in this Role

• Azure services, infrastructure as code, CI/CD, or Databricks.
• Healthcare analytics, claims data, actuarial systems, or another regulated, data-intensive domain.
• Production AI-enabled workflows with evaluation datasets, traceability, and appropriate human review.
• Modernizing established applications and data pipelines without disrupting users.
• Reducing recurring support effort, release friction, or cloud operating costs through measurable improvements.

What success looks like

During your first six months, you will establish priorities and baselines with the team, then demonstrate progress through:

• A meaningful system or workflow improvement delivered into use, with clear acceptance evidence and operational ownership.
• Stronger, reusable verification and release practices adopted within your assigned scope.
• Fewer recurring technical blockers or avoidable manual interventions.
• Engineers making better decisions and owning larger outcomes with less dependence on senior escalation.
• Product and domain partners who understand the technical tradeoffs and trust the team’s commitments.

The Team

• Builder to owner. Everyone on the team uses AI to build fast, and senior leaders own client outcomes and commercial results.
• Forward-deployed. Our engineers and product owners work inside real client and consulting workflows, not in a software silo.
• Think big, prioritize, execute, earn trust. We value bold ideas sequenced for compounding impact, delivered reliably, and backed by sound trade-offs.
• Quality is non-negotiable. Milliman's name is on everything we ship.

Location

It is preferred that candidates work on-site at our Chicago, IL, Milwaukee, WI, or Hartford, CT office. Remote candidates will be considered. The expected deadline for this role is March 25, 2027.

Compensation

The overall salary range for this role is $131,600 - $249,780. For candidates residing in:

• Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, New York City, Newark, San Jose, San Francisco, Pennsylvania, Virginia, Washington, or the District of Columbia is $151,340 – $249,780.
• All other locations the range is $131,600 - $217,200.

A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc.

Benefits

We offer a comprehensive benefits package designed to support employees' health, financial security, and well-being. Benefits include:

• Medical, Dental and Vision – Coverage for employees, dependents, and domestic partners.
• Employee Assistance Program (EAP) – Confidential support for personal and work-related challenges.
• 401(k) Plan – Includes a company matching program and profit-sharing contributions.
• Discretionary Bonus Program – Recognizing employee contributions.
• Flexible Spending Accounts (FSA) – Pre-tax savings for dependent care, transportation, and eligible medical expenses.
• Paid Time Off (PTO) – Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis.
• Holidays – A minimum of 10 observed holidays per year.
• Family Building Benefits – Includes adoption and fertility assistance.
• Paid Parental Leave – Up to 11 weeks of paid leave for employees who meet eligibility criteria.
• Life Insurance & AD&D – 100% of premiums covered by Milliman.
• Short-Term and Long-Term Disability – Fully paid by Milliman.

Equal Opportunity

All qualified applicants will receive consideration for employment, without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran.