Lead Test Data Management Engineer

Huntington National Bank; Minnetonka (MN); On-site; USD 120,000 - 160,000; Full time

Job summary

Huntington National Bank seeks a Platform & Capability Leader to drive end-to-end test-data management initiatives across multiple teams. You will define roadmaps, lead implementation, and mentor engineers while partnering with application teams to onboard new use cases and validate solutions.

The role emphasizes building reusable patterns, enhancing data quality, and integrating TDM with CI/CD and testing workflows in a collaborative, fast-paced environment.

Qualifications

• Bachelor's Degree preferred; 5+ years of related experience or an additional 4 years of related work experience may be considered in lieu of the Bachelor's Degree.
• Strong technical leadership in defining roadmaps, prioritization, and implementation across TDM platforms.

Responsibilities

• Partner in defining the TDM roadmap and engineering priorities while providing technical leadership for implementation.
• Identify opportunities to eliminate production data usage in non-production environments.
• Provide analysis and recommendations for build-vs-buy evaluations, technology tradeoffs, and implementation decisions.
• Design and implement synthetic data generation and test data provisioning solutions.
• Build reusable automation, data pipelines, engineering patterns, and accelerators.
• Integrate TDM capabilities with testing, quality engineering, and CI/CD processes.
• Partner with application teams to onboard use cases and validate solutions.
• Evaluate and implement tooling to improve test data quality, availability, and efficiency.
• Maintain deep technical expertise in TDM tools, synthetic data technologies, and supporting platforms.
• Define and operationalize end-to-end test data lifecycle processes.
• Establish repeatable provisioning, refresh, archival, and retirement patterns.
• Define service models for requesting, generating, delivering, and maintaining test data.
• Establish reusable synthetic data patterns and data asset libraries.
• Develop standards for referential integrity and realistic test data creation.
• Define validation approaches to ensure synthetic data is fit for purpose.
• Measure and report progress toward reducing or eliminating production data usage.
• Support onboarding, training, and adoption activities across technology teams.
• Monitor emerging industry trends and recommend improvements to Huntington's TDM capabilities.
• Establish reusable engineering patterns and operational processes that support future scalability.
• Experience designing and implementing technology or data solutions.
• Experience with databases, APIs, data pipelines, automation frameworks, and software delivery practices.
• Demonstrated ability to lead complex technical initiatives across multiple teams and stakeholders.
• Experience with synthetic data generation, masking, tokenization, virtualization, or privacy-preserving data techniques.
• Experience implementing automated test data provisioning solutions.
• Familiarity with Agile delivery models, DevOps practices, and CI/CD integration.
• Experience evaluating and implementing technology platforms and vendor solutions.
• Strong understanding of data governance, risk management, compliance, and information security principles.
• Experience supporting large-scale application development and testing environments.
• Ability to balance strategic planning with hands-on technical execution.

Education

Bachelor's Degree

Job description

Basic Qualifications

• Bachelor's Degree

• 5+ years of related experience or an additional 4 years of related work experience may be considered in lieu of the Bachelor's Degree

Platform & Capability Leadership

• Partner in defining the TDM roadmap and engineering priorities while providing technical leadership for implementation.

• Identify opportunities to eliminate production data usage in non-production environments.

• Provide analysis and recommendations for build-vs-buy evaluations, technology tradeoffs, and implementation decisions.

Engineering & Solution Delivery

• Design and implement synthetic data generation and test data provisioning solutions.

• Build reusable automation, data pipelines, engineering patterns, and accelerators.

• Integrate TDM capabilities with testing, quality engineering, and CI/CD processes.

• Partner with application teams to onboard use cases and validate solutions.

• Evaluate and implement tooling to improve test data quality, availability, and efficiency.

• Maintain deep technical expertise in TDM tools, synthetic data technologies, and supporting platforms.

Test Data Lifecycle Management

• Define and operationalize end-to-end test data lifecycle processes.

• Establish repeatable provisioning, refresh, archival, and retirement patterns.

• Define service models for requesting, generating, delivering, and maintaining test data.

Data Quality, Reuse & Governance

• Establish reusable synthetic data patterns and data asset libraries.

• Develop standards for referential integrity and realistic test data creation.

• Define validation approaches to ensure synthetic data is fit for purpose.

• Measure and report progress toward reducing or eliminating production data usage.

Adoption & Organizational Enablement

• Support onboarding, training, and adoption activities across technology teams.

• Monitor emerging industry trends and recommend improvements to Huntington's TDM capabilities.

• Establish reusable engineering patterns and operational processes that support future scalability.

Additional Experience

• Experience designing and implementing technology or data solutions.

• Experience with databases, APIs, data pipelines, automation frameworks, and software delivery practices.

• Demonstrated ability to lead complex technical initiatives across multiple teams and stakeholders.

• Experience with synthetic data generation, masking, tokenization, virtualization, or privacy-preserving data techniques.

• Experience implementing automated test data provisioning solutions.

• Familiarity with Agile delivery models, DevOps practices, and CI/CD integration.

• Experience evaluating and implementing technology platforms and vendor solutions.

• Strong understanding of data governance, risk management, compliance, and information security principles.

• Experience supporting large-scale application development and testing environments.

• Ability to balance strategic planning with hands-on technical execution.

  Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay)

Workplace Type

Office

Our Approach to Office Workplace Type

Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in‑office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Compensation Range

The compensation range represents the anticipated low and high end of the base compensation range for this position. Actual compensation will vary based on various factors including but not limited to location, experience, and education. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan. In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO).

Huntington is an Equal Opportunity Employer.

Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Yes