Mainframe Test Director / VP / AVP - Remote (US or Canada)

NTT DATA, Inc.; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

NTT DATA, Inc. in the United States is seeking a Senior Migration Testing Lead to define and own the migration testing strategy, framework, and governance. You will establish risk-based testing methodologies, entry/exit criteria, and release readiness processes, coordinating across applications, infrastructure, and operations.

This role reports on progress, quality metrics, and risks to executives. Responsibilities include designing automated validation approaches for batch jobs, data

Job description

• Define and own the overall migration testing strategy, framework, roadmap, and governance model.
• Establish testing standards, quality gates, entry/exit criteria, and release readiness processes.
• Develop a risk-based testing methodology aligned to migration waves and deployment milestones.
• Establish traceability between migration changes, risks, business requirements, and test coverage.
• Provide executive reporting on testing progress, quality metrics, risks, and release readiness.

Risk-Based Testing & Change Impact Assessment

• Lead application, infrastructure, and operational impact assessments to understand migration-related changes.
• Develop a risk-ranking framework to classify components based on:
• Code modifications
• JCL conversion impacts
• CICS transaction changes
• Security changes
• Operational and scheduler impacts
• Business criticality
• Define testing depth and coverage based on migration risk and business impact.
• Optimize testing effort by focusing on high-risk and high-business-value components.
• Maintain a Migration Testing Risk Register and Quality Heat Map.
• Identify migration-specific risks and ensure mitigation plans are incorporated into testing activities.
• Define the overall testing tool architecture and strategy for the migration program.
• Evaluate, select, and implement testing tools supporting:
• Test management
• Regression testing
• Performance testing
• Reporting and dashboards
• Establish automated validation approaches for batch jobs, file comparisons, data reconciliation, and migration verification.
• Design reusable automation frameworks and testing accelerators.
• Identify opportunities to leverage AI-enabled testing capabilities for:
• Impact analysis
• Regression optimization
• Defect clustering and analysis
• Test productivity improvement
• Establish testing KPIs and quality metrics to measure effectiveness and automation adoption.

Test Planning & Design

• Develop comprehensive testing plans covering:
• System Testing
• System Integration Testing (SIT)
• End-to-End Business Process Testing
• Regression Testing
• Performance & Volume Testing
• User Acceptance Testing (UAT)
• Operational Readiness Testing
• Cutover & Rollback Validation Testing
• Define test environments, test data strategy, and environment governance.
• Ensure test coverage aligns with migration risk profiles and business priorities.