Director, QA Engineering

About OvalEdge

Data Governance and Data Catalog platform

Director, QA Engineering

About the Role

Director of Quality Assurance

complex, high-variability testing landscape

If you thrive on solving tough problems, love bringing structure to chaos, and want to make a measurable impact on product reliability and customer trust — this is the role for you.

Key Responsibilities

1. QA Strategy & Leadership

• Define and execute a

  transformative QA vision and roadmap

  aligned with OvalEdge’s product and customer goals.
• Build, mentor, and lead a

  world-class QA team

  across functional, automation, and performance testing disciplines.
• Instil a

  “Quality-first, Engineering-owned”

  mindset across product and development teams.
• Collaborate closely with Engineering leadership to address

  technical debt, weak unit testing practices, and process gaps

  that affect product stability.
• Champion initiatives that make quality measurable, visible, and repeatable across all releases.

2. Quality Engineering & Automation

• Architect and evolve

  automation frameworks

  for UI, API, and backend testing using modern tools (e.g., Playwright, Selenium, RestAssured, Cypress).
• Develop a

  progressive automation roadmap

  , prioritizing high-impact regression areas and data connector validation.
• Partner with DevOps to integrate

  quality gates

  into CI/CD pipelines, enabling continuous testing and faster feedback loops.
• Introduce innovative solutions for

  data lineage testing

  , ensuring accuracy across complex metadata relationships and customer environments.
• Ensure automation and manual testing strategies adapt to varied customer deployments, on-premise or cloud.

3. Process Excellence & Release Quality

• Establish

  standardized QA processes

  , entry/exit criteria, and release readiness checklists across all product lines.
• Drive

  release quality ownership

  by collaborating with Engineering, Product, and DevOps to identify and resolve high-risk areas early.
• Implement

  root cause analysis (RCA)

  for recurring defects and embed preventive measures upstream.
• Improve

  unit testing coverage, code review rigor

  , and developer accountability to minimize post-release defects.
• Create predictable, data-driven release cycles with clear go/no-go gates.

4. Quality Analytics & Continuous Improvement

• Define and track

  quality KPIs

  (e.g., defect leakage, automation coverage, test execution velocity, release stability).
• Build

  real-time dashboards

  that provide visibility into product health and release readiness.
• Leverage insights from production issues and customer-reported defects to continuously refine test coverage and automation.
• Use metrics to drive conversations, set priorities, and demonstrate progress in quality maturity.

5. Cross-functional Collaboration & Customer Focus

• Work closely with

  Engineering, Product Management, and Customer Success

  to proactively identify quality risks and incorporate customer feedback into QA strategy.
• Partner with implementation teams to validate configurations, connectors, and upgrades in customer environments.
• Lead initiatives to

  replicate or simulate customer environments

  for testing complex lineage and integration scenarios.
• Serve as the voice of quality in customer conversations, ensuring release confidence and customer trust.

Requirements

• Experience:

  12+ years in Software Quality Assurance, with at least 4+ years in a

  QA leadership role

  (managing managers and teams across multiple QA disciplines).

• Domain Knowledge:

  Prior experience with

  Data Governance, Data Integration, or Metadata Management

  platforms is highly preferred.

Technical Depth:

• Proven experience designing and scaling

  automation frameworks

  for UI, API, and backend systems.
• Hands-on understanding of test automation tools (Playwright, Selenium, RestAssured, Cypress, Postman) and scripting languages (Python, Java, or JavaScript).
• Familiarity with

  data validation

  , ETL testing, and working with SQL and NoSQL data sources.

• DevOps & CI/CD Integration:

  Strong knowledge of CI/CD pipelines (Jenkins, GitLab CI, Azure DevOps, etc.) and embedding

  automated quality gates

  .

• Process Leadership:

  Demonstrated success driving

  QA process transformation

  in complex or legacy product environments.

• Analytical Skills:

  Ability to define, measure, and act on

  data-driven quality metrics

  to improve product and process outcomes.

• Problem Solving:

  Creative, out-of-the-box thinker capable of tackling challenges like

  environment variability

  ,

  data lineage testing

  , and

  connector-level validation

  .

• Collaboration:

  Strong cross-functional communicator who can partner effectively with Product, Engineering, DevOps, and Customer teams.

• Mindset:

  Strategic yet hands-on; capable of balancing long-term vision with immediate stabilization needs.

• Education:

  Bachelor’s degree in Computer Science, Engineering, or a related field. A Master’s degree or equivalent technical leadership experience is a plus.

What Success Looks Like

• Dramatic reduction in defect leakage and regression issues.
• Automation integrated into CI/CD with measurable coverage gains.
• Stabilized release cycles and improved customer confidence.
• Repeatable frameworks for validating connectors, lineage, and data quality across diverse deployments.
• A high-performing QA organization known for creativity, rigor, and impact.

Why Join OvalEdge

• Join a rapidly growing

  Data Governance leader

  impacting global enterprises.
• Shape and scale the QA vision in a high-impact leadership role.
• Work with passionate teams that value

  collaboration, innovation, and ownership

  .
• A culture that celebrates learning, transparency, and quality at every level.