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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 strategy and execution across a defined portfolio, domain, or segment.
- Lead and develop quality engineering managers, leads, engineers, and SDETs; drive organization design, talent growth, and team performance.
- Establish portfolio quality goals, KPIs, and governance to improve delivery quality, release readiness, and production stability.
- Embed built-in quality across planning, design, development, testing, and deployment.
- Oversee test strategy and execution across functional, integration, end-to-end, regression, and release validation.
- Own portfolio-level quality risk management, including defect trends, release concerns, environment issues, and cross-team dependencies.
- Drive automation-first practices and integrate quality signals, validation, and gates into CI/CD pipelines.
- Lead adoption of AI-enabled quality engineering capabilities and promote innovative practices that improve speed, coverage, and reliability.
- Sponsor modernization of quality frameworks, tooling, and test approaches for APIs, distributed systems, and cloud-native platforms.
- Oversee non-functional quality practices, including performance, resiliency, operational readiness, and security validation.
- Use metrics and production insights to drive continuous improvement, maturity, and investment priorities.
- Partner with segment and enterprise stakeholders to align execution with broader quality engineering strategy, standards, and reference architecture direction.
- Ensure responsible adoption of AI and compliance with applicable security, privacy, regulatory, and operational standards.
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
- 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.
Work at Home Requirements
To ensure Home or Hybrid Home/Office employees' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteri