Director, Segment Quality Engineering

The Director, Segment Quality Engineering is a strategic technology leader responsible for advancing quality engineering practices across a defined portion of Humana’s technology portfolio. Reporting to the AVP, Quality Engineering – Segment, this role will lead teams responsible for delivery quality, test automation, release readiness, and continuous improvement across multiple product and application teams.

This leader will work closely with Product, Engineering, Architecture, Platform, DevOps, and enterprise quality partners to embed quality throughout the software development lifecycle and improve release confidence, delivery speed, and production stability.
Responsibilities

Lead quality engineering execution across a defined portfolio, domain, or set of technology products and applications.
Build, develop, and coach high-performing quality engineering teams, including managers, leads, engineers, and SDETs.
Drive consistent quality engineering practices across agile teams, with a focus on built-in quality and shared accountability.
Oversee quality planning and execution across functional, integration, end-to-end, and regression testing.
Partner with Engineering and DevOps teams to support release readiness, validation, and stable production deployments.
Lead defect management practices, including triage, root cause analysis, trend identification, and prevention.
Advance automation-first quality engineering capabilities to improve test coverage, speed, and reliability.
Help integrate quality signals, automated validation, and quality gates into CI/CD pipelines.
Support modernization of testing frameworks and approaches for APIs, distributed systems, and cloud-aligned architectures.
Coordinate non-functional quality activities, including performance, resiliency, operational readiness, and security validation support.
Use quality metrics and insights to identify improvement opportunities and drive portfolio quality maturity.
Partner with segment and enterprise stakeholders to align execution with broader quality engineering strategy, standards, and reference architecture direction.

Use your skills to make an impact

Required Qualifications

Bachelor’s degree or equivalent experience.
10+ years of experience in software engineering, quality engineering, testing, or related technical disciplines.
5+ years of leadership experience managing quality engineering, test automation, or software delivery teams in large enterprise environments.
Experience leading quality engineering execution across multiple agile teams or a complex application/product portfolio.
Demonstrated success driving quality engineering modernization, including automation, tooling, process improvement, and metrics-driven execution.
Strong understanding of Agile, DevOps, and CI/CD practices.
Experience with API, UI, integration, regression, and end-to-end testing approaches.
Familiarity with distributed systems and modern application architectures.
Strong communication and stakeholder management skills, with the ability to influence cross-functional leaders.
Experience working in matrixed organizations and leading geographically distributed teams.

Preferred Qualifications

Experience in healthcare or another highly regulated industry.
Familiarity with member, provider, digital experience, or enterprise platform domains.
Experience with enterprise quality tools, test management platforms, and engineering lifecycle tools.
Knowledge of microservices, APIs, event-driven systems, and cloud-native architectures.
Experience supporting non-functional testing, including performance and resiliency.
Exposure to AI-enabled quality engineering or intelligent automation capabilities.
Familiarity with enterprise reference architecture principles, patterns, and standards in cloud, hybrid, on-premise, and SaaS environments.

Success in this Role

In this role, success will be measured by:
Improved release stability and delivery quality across the assigned portfolio.
Reduced escaped defects and production incidents related to delivery quality.
Increased automation adoption, regression reliability, and validation efficiency.
Stronger integration of quality engineering into engineering workflows and CI/CD pipelines.
Advancement of quality engineering maturity and consistent execution across teams.
Positive stakeholder partnership and strong team engagement and development outcomes.