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Data Quality Assurance Manager

Candor health
Posted on

Experience
5 - 10 yrs
Job Location
Bengaluru, India
Vacancy
1
Designation
Quality Assurance Manager
Job Type
Not specified

Job Description

Responsibilities
  • Own and evolve the QA strategy across Candors data products, ensuring accuracy and reliability of provider data at scale
  • Dig into client-facing data deliverables spreadsheets, accuracy reports, analysis outputs and understand what the data is telling you, not just whether a test passed
  • Participate in product discussions and bring a quality-informed perspective to roadmap decisions, feature scoping, and release planning
  • Build and manage a QA team, including hiring, mentoring, and setting clear standards for how quality is measured and maintained
  • Write scripts and build lightweight automation to reduce manual testing burden whether thats Python, SQL, shell scripts, or whatever gets the job done
  • Coordinate testing efforts across engineering, data operations, and client delivery teams that often have competing priorities and timelines
  • Develop and maintain test plans, regression suites, and data validation frameworks tailored to a data-heavy product (not just UI testing)
  • Work directly with client data and feedback to understand where quality gaps exist and translate that into actionable improvements
Qualifications
  • 5+ years of QA experience, with at least 2 years managing a QA team
  • Strong analytical instincts you can open a spreadsheet of provider data or an accuracy report from a client and quickly identify whats off
  • Hands-on scripting ability (Python, SQL, Bash, or similar) with a bias toward automating repetitive work
  • Experience working with data products, data pipelines, or analytics-heavy platforms not just traditional software QA
  • An intuitive sense for what makes a product good, beyond just "does it work"
  • Comfort operating across multiple teams with different priorities and communicating tradeoffs clearly
  • Experience with healthcare data is a plus but not required
  • Experience working with distributed / offshore engineering teams is a plus

















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