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Humana

Sells Medicare health plans and runs senior clinics

Director, Quality Engineering - Test Data Management

Engineering LeadershipPosted on Nov 5
Full-timeRemote in USA

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Systems, or a technology-related degree, or equivalent experience.
  • At least 10 years of experience in quality engineering, test data management, data engineering, software engineering, or related technical disciplines.
  • At least 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.
  • The self-provided internet service must provide at least 25 Mbps download and 10 Mbps upload speed; wireless, wired cable, or DSL is suggested.
  • Work from a dedicated space without ongoing interruptions to protect member PHI/HIPAA information.

Responsibilities

  • 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.
  • Lead enterprise engineering and management of secure, scalable, and compliant test data solutions.
  • Oversee delivery of test data provisioning, synthetic data generation, data masking and obfuscation, data de-identification, data quality enablement, test data automation, data 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 that 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 to improve the speed, intelligence, scalability, and coverage of test data operations.
  • 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 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.
  • 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.
  • 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.
  • 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.

Desired 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 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.

About the Company

Humana

Sells Medicare health plans and runs senior clinics

Humana sells health insurance paid for by government programs, chiefly Medicare Advantage plans that private insurers run for Americans 65 and older in place of traditional Medicare. It ranks among the largest Medicare Advantage insurers in the country and also runs Medicaid plans for low-income families in several states. Its CenterWell business operates senior primary care clinics, a mail-order pharmacy and home health services, so many members get care from a company the insurer owns. Medicare and states pay Humana a set monthly amount per member, and it keeps the difference between those payments and members' medical costs. Humana was founded in 1961 as a nursing home company and is based in Louisville, Kentucky.

Company size
10,001+
Company stage
IPO
Headquarters
Louisville, KY
Founded
1961

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