Talentgigs
Website:
talentgigs.in
Job details:
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.
Click on Apply to know more.
