Principal Consultant – Quality Engineering (QE) transformation

Overview

As Principal Consultant, you lead Quality Engineering transformation for enterprise clients, blending consulting, program leadership, automation, and AI capabilities. You partner with business and technology leaders to design scalable QE solutions that boost software quality and accelerate delivery amid digital transformation. You shape governance, roadmaps, and modernization programs across large portfolios, driving measurable improvements. This role offers scope to influence tooling, processes, and AI-enabled quality practices at scale.

Responsibilities

• Advise on QE transformation, TCoE setup, operating models, governance, and quality strategy.
• Conduct maturity assessments and define roadmaps for testing modernization, automation, and AI-enabled practices.
• Align quality initiatives with business objectives and regulatory requirements with client leadership.
• Drive standardization and continuous improvement across large technology portfolios.
• Lead large-scale QA and testing programs across geographies and delivery centers.
• Manage quality planning, risk, resource forecasting, stakeholder communications, and executive reporting.
• Establish governance mechanisms, metrics, KPIs, SLAs, and dashboards for predictable delivery.
• Oversee application modernization, cloud migration, merger integration, and digital transformation initiatives.
• Define enterprise automation strategies for functional, API, data, performance, and regression testing.
• Architect reusable automation frameworks and drive continuous testing in Agile/DevOps.
• Provide guidance on tool selection, platform modernization, and automation ROI.
• Lead adoption of Generative AI and Agentic AI in QE processes; identify AI-driven testing opportunities.
• Develop AI accelerators/frameworks to improve productivity and delivery efficiency.
• Serve as trusted advisor to executives, engineers, architects, and product owners.
• Support proposal development, solution design, estimations, and RFP responses.

Key requirements

• Quality Engineering and Testing Strategy expertise
• Test Automation and Continuous Testing
• Testing Center of Excellence (TCoE)
• Agile, DevOps, and CI/CD
• Program and Portfolio Management
• Data Warehouse and ETL Testing
• Performance Engineering
• Cloud Migration Validation
• Generative AI and Agentic AI
• Executive Stakeholder Management
• Business Consulting and Digital Transformation

• Executive stakeholder management
• Cross-functional collaboration
• Strategic thinking
• Quality Engineering and Testing
• Automation Frameworks
• AI-enabled quality practices

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