Associate Director, Quality Engineering (Sales & Marketing)

Humana•Boston, MA

4d•$142,300 - $195,700•Remote

About The Position

Humana seeks an Associate Director, Segment Quality Engineering to lead people and delivery for quality engineering across a defined set of products, applications, or delivery teams within its technology portfolio. Reporting to the Director, Segment Quality Engineering, this role leads teams focused on delivery quality, test automation, release readiness, and continuous improvement. The Associate Director partners with Product, Engineering, Architecture, Platform, DevOps, and enterprise quality teams to embed quality throughout the software development lifecycle and improve release confidence, delivery speed, and production stability. The role operationalizes segment quality strategy through consistent execution, team leadership, and measurable quality outcomes. It also promotes responsible use of AI-enabled quality engineering in accordance with applicable security, privacy, regulatory, and operational standards. This is a remote position with occasional travel to Humana offices for training or meetings. Employees working from home or a hybrid home/office arrangement must have internet service with at least 25 Mbps download and 10 Mbps upload speeds and a dedicated workspace that protects member PHI/HIPAA information. The position is scheduled for 40 hours per week.

Requirements

Bachelor's degree in Information Technology, Computer Science, or another bachelor's degree combined with relevant equivalent industry experience.
At least 8 years of experience in software engineering, quality engineering, testing, or related technical disciplines.
At least 3 years of leadership experience managing quality engineering, test automation, or software delivery teams in enterprise environments.
Experience leading quality engineering activities across multiple agile teams or complex applications.
Hands-on experience with enterprise quality tools, test automation, test management platforms, and engineering lifecycle tools.
Demonstrated experience improving quality engineering practices, including automation, process improvement, and metrics-based 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 collaboration skills, including the ability to work effectively across product, engineering, and operational teams.
Experience working in matrixed organizations and coordinating across distributed teams.

Nice To Haves

Experience in healthcare or another highly regulated industry.
Familiarity with member, provider, digital experience, or enterprise platform domains.
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 architecture principles, patterns, and standards across cloud, hybrid, on-premise, and SaaS environments.
Experience implementing AI-enabled quality engineering or intelligent automation capabilities.

Responsibilities

Lead quality engineering execution for a defined set of applications, products, or agile teams within the segment portfolio.
Manage, coach, and develop quality engineering leaders, engineers, and SDETs; oversee team performance, engagement, and growth.
Implement quality engineering standards, practices, and governance established by segment and enterprise leadership.
Drive quality planning and execution across functional, integration, end-to-end, regression, and release validation activities.
Partner with Engineering, Product, and delivery leaders to embed quality in planning, design, development, and release processes.
Oversee defect management, including triage coordination, trend analysis, root cause follow-up, and corrective action tracking.
Support release readiness assessments and ensure validation activities are completed for production deployments.
Advance automation adoption, sustainable regression coverage, and testing efficiency across assigned teams.
Partner with engineering and platform teams to integrate automated validations and quality checks into CI/CD pipelines.
Coordinate non-functional quality support, including performance, resiliency, operational readiness, and security validation activities.
Monitor quality metrics, delivery trends, and production outcomes to identify risks and continuous improvement opportunities.
Escalate systemic quality concerns, portfolio risks, and capacity constraints to Director leadership as needed.
Contribute to quality engineering modernization through enterprise tools, reusable frameworks, and improved ways of working.
Drive adoption of AI-enabled quality engineering capabilities and promote practices that improve speed, coverage, and reliability.
Ensure responsible AI adoption and compliance with applicable security, privacy, regulatory, and operational standards.