Director, Quality Engineering

Humana•Louisville, NY

2d•Remote

About The Position

The Director, Quality Engineering – Test Data Management (EQE) is a senior technology leader responsible for defining, advancing, and operating Humana's enterprise Test Data Management function within Enterprise Quality Engineering. Reporting to the VP, Quality Engineering, this role leads strategy, operating model, and execution for secure, scalable, compliant, and automation-enabled test data capabilities supporting software delivery across Humana's business and technology organizations. The Director builds and leads a high-performing organization delivering test data provisioning, synthetic data generation, masking, de-identification, data lifecycle management, and environment data coordination. The role partners with Quality Engineering, Engineering, Product, Architecture, DevOps, Infrastructure, Security, Privacy, Risk, and Data teams to ensure test data is available, fit for purpose, and aligned with delivery, compliance, and release readiness needs. The position drives modernization through automation-first and AI-enabled capabilities while establishing standards, controls, and reusable services that improve engineering throughput, reduce delivery friction, and strengthen compliance and data protection across non-production environments. It oversees a distributed organization of 50+ associates and supports segment and enterprise needs. Success includes improving provisioning speed and reliability, increasing adoption of secure reusable solutions, reducing delivery delays, maintaining privacy and security compliance, advancing AI-enabled automation, and improving stakeholder satisfaction and associate engagement. This is a remote position with occasional travel to Humana offices for training or meetings. Home or hybrid home/office workers must have internet service with at least 25 Mbps download and 10 Mbps upload and a dedicated work area that protects member PHI/HIPAA information. Scheduled weekly hours are 40. The stated annual base pay range is $156,600–$215,400, and the role is eligible for a bonus incentive plan.

Requirements

Bachelor's degree in Computer Science, Information Systems, or a technology-related discipline, or equivalent experience.
10+ years of experience in quality engineering, test data management, data engineering, software engineering, or related technical disciplines.
5+ years of leadership experience managing enterprise-scale technology teams, including managers and geographically distributed associates.
Experience leading or scaling test data management, data engineering, or quality engineering functions in a large enterprise environment.
Demonstrated success building and operating secure, scalable, and compliant test data solutions.
Experience with test data provisioning, masking, obfuscation, de-identification, synthetic data generation, and lifecycle management.
Strong understanding of privacy, security, and compliance considerations for test data in regulated environments.
Experience driving automation and process modernization across engineering or quality workflows.
Strong stakeholder management and executive communication skills, with the ability to influence across engineering, quality, data, and business organizations.
Experience working in Agile and DevOps environments and supporting modern software delivery practices.

Nice To Haves

Experience in healthcare, payer/insurance, or another highly regulated industry.
Experience supporting enterprise quality engineering or platform enablement organizations.
Familiarity with test data management platforms, masking tools, synthetic data solutions, and data quality tooling.
Knowledge of cloud platforms, distributed systems, APIs, CI/CD pipelines, and enterprise engineering platforms.
Experience applying AI or machine learning capabilities to test data, quality engineering, or operational optimization.
Familiarity with data governance, data retention, and environment management practices in large-scale enterprises.

Responsibilities

Lead the enterprise Test Data Management function within Enterprise Quality Engineering, including strategic direction, operating model execution, and organizational development.
Build, lead, and develop a high-performing team of managers, engineers, and test data specialists across multiple groups.
Oversee a distributed organization of 50+ associates and establish clear priorities, role clarity, and performance expectations.
Partner with Quality Engineering, Engineering, Product, Architecture, DevOps, Infrastructure, Security, and Data teams to align TDM services with business and delivery priorities.
Drive a scalable support model for segment TDM services across multiple portfolios and delivery teams.
Promote quality, compliance, continuous improvement, and shared ownership of secure test data practices.
Lead enterprise engineering and management of secure, scalable, and compliant test data solutions, including provisioning, synthetic data generation, masking and obfuscation, de-identification, data quality enablement, test data automation, lifecycle management, and environment data coordination.
Ensure test data is available, fit for purpose, and aligned to quality engineering, release, and environment needs.
Advance data engineering practices to improve the reliability, reusability, and speed of test data provisioning across delivery pipelines.
Support functional, integration, regression, end-to-end, and non-production validation testing needs.
Drive AI-enabled and automation-first TDM strategies and expand AI and advanced automation for synthetic data generation, sensitive data detection, masking rule optimization, provisioning efficiency, and data quality insights.
Integrate TDM automation into CI/CD and engineering workflows where applicable.
Partner with enterprise engineering and platform teams to modernize TDM tooling, workflows, and reusable patterns.
Establish metrics to evaluate automation effectiveness, data readiness, cycle time reduction, and business value realization.
Define and enforce enterprise TDM standards, governance, and operating policies.
Ensure compliance with privacy, security, and regulatory requirements for test data usage, storage, movement, masking, and de-identification.
Oversee privacy and compliance controls for non-production data usage and establish standards for secure handling of production-like data in test environments.
Partner with security, risk, privacy, and compliance stakeholders to maintain appropriate controls and audit readiness.
Promote consistent governance for test data access, retention, refresh, lineage, and lifecycle management.
Enable delivery teams with timely, compliant, high-quality test data services that improve engineering throughput and release readiness.
Partner with segment quality engineering leaders and application teams to understand demand patterns and align TDM support with delivery roadmaps.
Coordinate across environments and shared services to reduce delays related to data setup, refresh, and availability.
Influence engineering and quality practices to improve testability, environment readiness, and quality outcomes.
Collaborate with enterprise enablement and platform teams to standardize capabilities and reduce duplication.
Define and monitor KPIs for test data availability, provisioning speed, automation adoption, compliance adherence, data quality, and operational efficiency.
Use data and insights to identify risks, bottlenecks, and improvement opportunities across TDM services.
Drive continuous improvement to reduce manual work, increase data reliability, and improve customer satisfaction.
Provide clear reporting and operational transparency to senior leadership and stakeholders.
Build maturity roadmaps for enterprise TDM capabilities and measure progress against defined outcomes.