Director, Quality Engineering

Become a part of our caring community

• Humana is committed to helping people achieve their best health by delivering innovative technology solutions that enable exceptional member and provider experiences.
• 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 (TDM) function within Enterprise Quality Engineering. Reporting to the VP, Quality Engineering, this role leads the strategy, operating model, and execution of secure, scalable, compliant, and automation-enabled test data capabilities that support software delivery across Humana's business and technology organizations.
• This leader is accountable for building and leading a high-performing organization responsible for core TDM services, including test data provisioning, synthetic data generation, masking, de-identification, data lifecycle management, and environment data coordination. The Director will partner closely 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 to delivery, compliance, and release readiness needs.
• The ideal candidate brings deep expertise in test data management, data engineering, governance, privacy, and automation in a complex enterprise environment. This role will drive modernization of TDM practices 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.

Responsibilities

Leadership, Strategy & Operating Model

• •Lead the enterprise Test Data Management function within EQE, 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 supporting segment and enterprise needs.
• •Oversee a distributed organization of 50+ associates and create 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 a culture of quality, compliance, continuous improvement, and shared ownership of secure test data practices.

Test Data Engineering & Management

• •Lead enterprise engineering and management of secure, scalable, and compliant test data solutions.
• •Oversee delivery of core TDM capabilities, including:Test data provisioningSynthetic data generationData masking and obfuscationData de-identificationData quality enablementTest data automationData lifecycle managementEnvironment data coordination
• •Ensure test data is available, fit for purpose, and aligned to quality engineering, release, and environment needs.
• •Advance data engineering practices that improve the reliability, reusability, and speed of test data provisioning across delivery pipelines.
• •Support complex testing needs across functional, integration, regression, end-to-end, and non-production validation use cases.

AI-Enabled & Automation-First TDM

• •Drive AI-enabled and automation-first TDM strategies to improve speed, intelligence, scalability, and coverage of test data operations.
• •Expand the use of 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 to reduce manual effort and increase release confidence.
• •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.

Governance, Standards, Compliance & Privacy

• •Define and enforce enterprise TDM standards, governance, and operating policies.
• •Ensure compliance with privacy, security, and regulatory requirements related to test data usage, storage, movement, masking, and de-identification.
• •Oversee implementation of compliance and privacy controls for non-production data usage.
• •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.

Delivery Enablement & Stakeholder Partnership

• •Enable delivery teams through timely, compliant, and 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 to delivery roadmaps.
• •Coordinate across environments and shared services to reduce delays related to data setup, refresh, and availability.
• •Influence engineering and quality practices that improve testability, environment readiness, and quality outcomes.
• •Collaborate with enterprise enablement and platform teams to standardize capabilities and reduce duplication.

Metrics, Governance & Continuous Improvement

• •Define and monitor KPIs related to 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 initiatives 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.

Use your skills to make an impact

Required Qualifications

• •Bachelor's degree in Computer Science, Information Systems, or any technology related degree 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 key TDM capabilities such as 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.

Preferred Qualifications

• •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 app