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.

Work arrangement
No