Role Proficiency:

Create and Organise testing process based on project requirement and manage test activities within team

Outcomes:

     Test Estimates and Schedules-. Ensure Test Coverage      Produce test results defect reports test logs and reports to evidence for testing      Publish RCA reports and preventive measures      Ensure Quality of Deliverables      Report project metrics and status      Ensure adherence of Engineering practices processes and standards      Understand and contribute to test automation/performance testing      Work with DevOps team when required; to understand testing framework and QA process for implementing continuous testing Manage team utilization

Measures of Outcomes:

Test Script Creation and Execution Productivity Defect Leakage Metrics (% of defect leaked % of UAT defects and % of Production defects) % of Test case reuse Test execution Coverage Defect Acceptance Ratio Test Review efficiency On-time delivery Effort Variance Test Automation Coverage

Outputs Expected:

Supporting Organization:

Ensure utilization and quality of deliverables prepared by the team Co-ordinate Test Environment and Test Data provisioning

Test Design
Development
Execution:

Participate in review
walkthrough
demo and obtain sign off by stakeholder Prepare Test Summary Report for modules/features

Requirements Management:

Analyse
Prioritize
Identify Gaps; create workflow diagrams based on Requirements/User stories

Manage Project:

Participate in Test management Preparing
Tracking and Reporting of Test progress based on schedule

Domain relevance:

Identify business processes
conduct risk analysis and ensure test coverage

Estimate:

Prepare Estimate
Schedule
Identify dependencies

Knowledge Management:

Consume
Contribute
Review (Best Practices
Lesson learned
Retrospective)

Test Design
Execution:

Test Plan preparation
Test Case/Script Creation
Test Execution

Risk Identification:

Identification of risk/issues and prepare Mitigation and Contingency plans

Test & Defect Management:

Conduct root cause and trend analysis of the defects

Test Planning:

Identify the test scenarios with understanding of systems
interfaces and application Identify end-to-end business critical scenarios with less support Create and review the test scenarios and prepare RTM Prepare estimates (time /effort) based on the requirements/User stories Identify scope of testing

Client Management:

Define KPIs to the engagement and ensure adherence to these KPIs.

Stakeholder Connect:

Handle monthly/weekly governance calls and represent issues for the team

Skill Examples:

     Ability to Create Review and manage a test plan      Ability to prepare schedules based on estimates      Ability to track report progress and take corrective measures on need basis      Ability to identify test scenarios and prepare RTM      Ability to analyze requirement/user stories and prioritize testing      Ability to carry out RCA      Ability to capture and report metrics Ability to identify Test Data and Test Env. Specifications

Knowledge Examples:

     Knowledge of Estimation techniques      Knowledge of Testing standards      Knowledge of identifying the scope of testing      Knowledge of RCA Techniques      Knowledge of Test design techniques      Knowledge of Test methodologies      Knowledge of scope identification and planning Knowledge of Test automation tools and frameworks

Additional Comments:

Job Summary: We are seeking a highly skilled and experienced Test Data Management (TDM) Specialist to lead and support our test data strategy across various environments. The ideal candidate will have deep expertise in TDM frameworks, tools, and processes, with hands-on experience in both functional and performance testing data management. A working knowledge of performance testing tools and practices is essential to support cross-functional performance engineering efforts. Key Responsibilities: - Design, implement, and maintain scalable and secure Test Data Management solutions across multiple environments (dev, QA, staging, performance). - Design and implement end-to-end Test Data Management strategies for healthcare applications, ensuring HIPAA and data privacy compliance. - Work closely with QA, DevOps, and development teams to ensure test data needs are met effectively and efficiently. - Define and execute strategies for test data provisioning, masking, subsetting, synthetic data generation, and data refresh. - Manage test data specifically for performance testing scenarios, including high-volume data creation and environment readiness. - Collaborate with performance testers to align data models and test datasets for load, stress, and scalability testing. - Automate test data provisioning processes where possible using scripting or tools like K2View, Informatica TDM, Delphix, etc. - Ensure compliance with data privacy regulations and internal data security policies during all test data management activities. - Troubleshoot and resolve data-related issues during test cycles. - Maintain documentation, data catalogs, and versioning for test data sets. Required Skills and Qualifications: - 7–10 years of hands-on experience in Test Data Management across diverse enterprise applications and environments. - Solid understanding of TDM best practices, test lifecycle processes, and data governance. - Mandatory Hands-on experience with Genrocket tool. - Solid understanding of HIPAA regulations, PHI/PII handling, and healthcare data standards (HL7, EDI, FHIR). - Experience with TDM tools such as K2View, Delphix, Informatica TDM, or similar is good to have. - Proficiency in SQL and database technologies (Oracle, SQL Server, PostgreSQL, etc.) - Experience supporting performance testing teams by generating and managing large datasets. - Basic understanding of performance testing tools such as JMeter, LoadRunner, or Neoload. - Familiarity with data masking, data sub setting, synthetic data generation, and automation techniques. - Experience working in Agile and DevOps environments. - Strong communication and stakeholder management skills. Preferred Qualifications: - Exposure to cloud-based TDM solutions (AWS, Azure, GCP). - Experience with data virtualization technologies. - Knowledge of test automation frameworks is a plus. - Certifications in TDM tools or performance testing tools are advantageous.