Senior Manager, AI & Data Quality Engineering
Core
Lead distributed Data Quality, Reporting QA, Application QA, and automation teams to define quality operating models, governance, and release gates for financial data marts and reporting platforms.
Role type
Senior Manager, AI & Data Quality Engineering
Builds
Automated validation frameworks, AI-assisted test-case generation, intelligent defect triage workflows, and quality guardrails for data pipelines and reporting outputs.
Domain
Financial services / Data Quality / Generative AI / Quality Engineering
Deliverable
production ML models
Required skills
Team leadership across geographies, SQL, Databricks, Azure Synapse, Power BI, Playwright, Python, TypeScript, CI/CD, Generative AI, LLM workflows, model evaluation, human-in-the-loop controls
Preferred skills
Configuration-driven Data Quality frameworks, Power BI APIs, OpenTelemetry, AI for ticket triage, data governance, high-availability reporting platforms
Technologies
Databricks, Azure Synapse, Power BI, Playwright, Cucumber, TypeScript, Python, SQL, GitHub, Azure DevOps, Jira
Responsibilities
Lead distributed QA teams across India and USA; Define quality operating model and governance; Establish automated validation for data completeness and anomaly detection; Govern testing across data pipelines, semantic models, and APIs; Drive AI-assisted test generation and defect triage; Build talent through hiring and mentoring; Create follow-the-sun operating practices
Seniority
Senior, hands-on IC with management responsibilities