Senior Manager, AI & Data Quality Engineering
ABC Fitness Solutions (company site, opens in a new tab)HyderabadOn-siteDirect career pageEst. 25–40 LPA
Posted 11h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead distributed teams in Data Quality, Reporting QA, Application QA, and automation across India and the USA with clear ownership and performance management.
- Define and govern the Insights-wide quality operating model including standards, release gates, automated validation, and full release lifecycle testing covering data pipelines, reports, applications, and APIs.
- Develop and operationalize AI-driven quality engineering strategies such as AI-assisted test case generation, defect triage, anomaly detection, and evaluation standards with privacy and governance guardrails.
Minimum Requirements
- Experience leading QA, Data Quality, BI QA, or Quality Engineering teams, including distributed teams across geographies and time zones.
- Strong expertise in SQL, Databricks, Azure Data Factory or Synapse, and Power BI (including paginated reports, row-level security, refresh and validation).
- Hands-on experience with automation frameworks using Playwright, Cucumber, TypeScript, Python, and CI/CD pipelines (e.g., GitHub, Azure DevOps).
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Operates effectively managing complex distributed teams balancing cross-functional partnerships with Data Engineering, BI, Product, Support, and SRE.
- Demonstrated ability to integrate AI and ML technologies into quality engineering workflows and governance frameworks at scale.
- Experienced in driving measurable outcomes in data quality, automated test coverage, release confidence, and production reliability in modern data and reporting platforms.