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Salary
≈ $109k – $191k per year (Estimated)
Location
Remote (United States)
Seniority
Staff · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 2, 2026. First seen by Alion on Aug 25, 2026. Huntington Bancshares scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Huntington Bancshares is an American regional bank founded in Columbus, Ohio in 1866, and it is one of the larger banks in the American midwest. It runs consumer and business banking across a branch network spanning Ohio, Michigan, Pennsylvania and neighbouring states, alongside commercial banking, vehicle and equipment finance, and a specialty lending business that operates nationally rather than only in its branch footprint. Headquartered in Columbus and listed on Nasdaq, it grew substantially through the acquisitions of FirstMerit and TCF Financial and is known for consumer features such as overdraft grace periods.

Description

The Lead Test Data Management Engineer is responsible for translating Huntington's Test Data Management (TDM) strategy into operational capabilities. This role serves as the bridge between architecture, engineering, governance, and delivery teams, driving the design, implementation, and adoption of enterprise test data capabilities that reduce reliance on production data in lower environments.

The position combines technical leadership, solution design, and hands-on engineering expertise to establish repeatable test data services, accelerate pilot delivery, and create the foundation for a scalable Test Data Management capability.

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)

Yes

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.

Huntington is an Equal Opportunity Employer.

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

Note to Agency Recruiters: Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

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