Quality Engineering Lead - Data, AI & Regulatory Testing

Mastek; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

Mastek seeks a Quality Engineering Lead to govern testing across life sciences IT programs, vendors, and data platforms. You will shape risk-based test strategies for traditional apps, data pipelines and AI/GenAI solutions, ensuring CSV/CSA and 21 CFR Part 11 compliance and traceability.

You will lead QA across Databricks and AWS data environments, drive data quality, validation, and test automation with AI-assisted approaches, collaborating with SMEs and vendor leadership.

Qualifications

• 10–15 years of software testing/Quality Engineering experience, including enterprise leadership.
• Experience developing risk-based testing strategies aligned with business, technical, and compliance needs.
• Proven ability to govern testing across multiple IT teams and vendors.
• Experience with data platforms, data pipelines, and data quality frameworks.
• Hands-on testing of AI/ML/GenAI solutions, including evaluation metrics and grounding checks.

Responsibilities

• Define and govern risk-based test strategies across programs and vendors.
• Review test strategies, risk coverage, defects, and release-readiness decisions.
• Set up standard testing processes, templates, quality gates, metrics and reporting.
• Lead data quality engineering for ingestion, transformation and integration.
• Define testing for AI/GenAI, including prompts, bias, and model monitoring.
• Apply AI to testing with AI-assisted design, data generation and defect analysis.

Skills

Test strategy

Risk-based testing

Data quality engineering

AI/GenAI testing

SQL proficiency

Stakeholder management

Vendors management

GxP & CSV awareness

Tools

Jira

Azure DevOps

ALM

qTest

Tosca

Selenium

Databricks

AWS

Great Expectations

dbt tests

Unity Catalog lineage

Job description

Mastek seeks a Quality Engineering Lead to govern testing across life sciences IT programs, vendors, and data platforms. You will shape risk-based test strategies for traditional apps, data pipelines and AI/GenAI solutions, ensuring CSV/CSA and 21 CFR Part 11 compliance and traceability.

You will lead QA across Databricks and AWS data environments, drive data quality, validation, and test automation with AI-assisted approaches, collaborating with SMEs and vendor leadership.