Healthcare Quality Engineering Leader

Job Description – Healthcare Quality Engineering / QA Leader

Position: Healthcare Quality Engineering Leader / QA Director

Experience: 12–20+ years

Domain: Healthcare Technology

Location: Bangalore

Work Mode: [Onsite/Hybrid/Remote]

Notice Period: Immediate / 15–30 days preferred

Role Overview

We are looking for an experienced Healthcare Quality Engineering Leader with strong hands-on experience in Healthcare Technology, Healthcare Data, Interoperability, and Data Quality Engineering.

The ideal candidate should have a proven track record of leading large QA/QE organizations while also possessing strong technical expertise in HL7, FHIR, healthcare APIs, healthcare data validation, ETL/data pipelines, reconciliation, and data integrity testing.

This is a hands-on healthcare data and interoperability leadership role, not a conventional UI/application QA management position.

Key Responsibilities

1. Healthcare Quality Engineering Leadership

• Define and own the overall Healthcare QA/QE strategy across products and platforms.
• Lead large-scale QA/QE teams supporting healthcare applications and data platforms.
• Establish quality engineering standards, governance, KPIs, quality gates and release-readiness processes.
• Partner with Engineering, Product, Data, Architecture and Healthcare business stakeholders.
• Drive shift-left, automation, continuous testing and risk-based testing strategies.
• Establish organizational-level quality practices and continuous improvement initiatives.

2. Healthcare Domain Expertise – Mandatory

Candidates must have 5+ years of hands-on Healthcare Technology experience.

Experience must include one or more of the following:

• Population Health
• EHR / EMR
• Care Management
• Healthcare Analytics
• Healthcare Claims Platforms
• Value-Based Care

The candidate should be able to explain the healthcare business workflows, data flows and quality risks associated with these platforms.

Candidates with only generic healthcare, medical-device, clinical-research, pharmaceutical or insurance experience without relevant healthcare technology exposure will not qualify.

3. Healthcare Data Engineering & Validation – Mandatory

Strong hands-on experience testing and validating healthcare data is required.

Experience should include one or more of:

• Claims data
• Clinical data
• Eligibility data
• ADT data
• Laboratory data
• Pharmacy data

The candidate must be able to explain:

• Source-to-target data validation
• Data transformation validation
• Data mapping validation
• Data completeness
• Data accuracy
• Data consistency
• Data integrity
• Duplicate detection
• Data anomaly detection
• Business-rule validation
• Data reconciliation

UI-only or application-functional testing experience will not qualify.

4. Healthcare Interoperability – Mandatory

Strong hands-on experience with healthcare interoperability is required.

Mandatory:

• HL7
• FHIR
• Healthcare API testing/validation
• REST/SOAP API testing
• JSON/XML validation
• Integration testing
• Healthcare system-to-system interoperability

The candidate must have implemented or tested real-world healthcare interoperability solutions.

Examples may include:

• EHR ↔ Healthcare Platform
• EHR ↔ Claims Platform
• EHR ↔ Care Management Platform
• Clinical System ↔ Analytics Platform
• ADT interfaces
• HL7 message validation
• FHIR resource validation
• Healthcare API integration

"Familiar with HL7/FHIR" or training/certification alone is not sufficient.

5. Data Quality Engineering – Mandatory

Candidate should have strong experience in:

• ETL testing
• Data pipeline testing
• Batch and/or real-time data validation
• Source-to-target validation
• Data reconciliation
• Record-count reconciliation
• Field-level validation
• Transformation validation
• Data completeness checks
• Data integrity checks
• Data quality rules
• Data lineage validation
• Database validation
• SQL-based validation
• Data anomaly detection

The candidate must be able to design and explain a healthcare data quality strategy, not merely execute predefined test cases.

6. QA/QE Leadership – Mandatory

Candidates must have proven organizational leadership experience.

Required:

• Managed QA/QE teams of 10+ members
• 10+ direct reports preferred/required
• Experience hiring QA/QE engineers and managers
• Performance management responsibility
• Goal setting and performance evaluation
• Team capacity/resource planning
• Career development and mentoring
• Building and scaling QA/QE organizations
• Managing distributed/onshore-offshore teams
• Stakeholder and executive communication

The candidate should demonstrate experience managing people and organizational outcomes, not just acting as a Technical Lead.

7. API & Automation

Strong experience with:

• REST API testing
• SOAP API testing
• Postman
• REST Assured
• Swagger/OpenAPI
• API automation
• Contract testing
• Integration testing
• Selenium / Playwright / Cypress or equivalent
• CI/CD quality gates
• Jenkins / Azure DevOps / GitHub Actions

Automation should be used as part of a broader Quality Engineering strategy, rather than being the primary requirement.

8. Database & Data Technologies

Strong SQL and database validation experience.

Preferred experience:

• SQL Server
• Oracle
• PostgreSQL
• Snowflake
• Databricks
• Azure Data Factory
• Spark/PySpark
• ETL platforms
• Data warehouses
• Data lakes

9. Quality Governance

Experience in:

• QA/QE strategy
• Quality gates
• Release readiness
• Defect leakage prevention
• Root Cause Analysis
• Quality KPIs
• Test coverage
• Risk management
• Production validation
• Audit/compliance readiness
• Continuous improvement
• Quality Engineering transformation

Healthcare regulatory knowledge such as HIPAA is preferred.