GenAI Strategist Testing Transformation

Job Responsibilities

• Define and drive the GenAI strategy for Quality Engineering and Testing transformation initiatives.
• Identify opportunities to leverage Generative AI across the software testing lifecycle to improve quality, productivity, speed, and business outcomes.
• Partner with clients and stakeholders to develop AI-enabled testing roadmaps, transformation plans, and business cases.
• Lead the adoption of AI-powered test engineering solutions, autonomous testing capabilities, and intelligent quality platforms.
• Advise delivery teams on integrating GenAI tools and frameworks into testing processes and operating models.
• Collaborate with cross-functional teams to design, implement, and scale AI-driven testing solutions.
• Track transformation outcomes, establish success metrics, and drive continuous improvement initiatives.
• Serve as a trusted advisor to clients, providing thought leadership on emerging AI and testing trends.

Job Requirements

• Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related field.
• Minimum 12 years of experience in Quality Engineering, Software Testing, or Quality Assurance.
• At least 5 years of experience leading AI, GenAI, or digital transformation initiatives.
• Proven experience managing large-scale testing programs and enterprise transformation projects.
• Strong consulting and stakeholder management experience, preferably with Fortune 500 organizations.
• Hands-on knowledge of Azure OpenAI, Microsoft Copilot, AI Foundry, or similar GenAI platforms.
• Strong understanding of modern testing practices, test automation, DevOps, Agile, and Quality Engineering frameworks.
• Excellent communication, presentation, and business consulting skills.
• Ability to influence senior stakeholders and drive adoption of innovative technologies across organizations.

Preferred Qualifications

• Experience with AI-powered quality engineering and autonomous testing solutions.
• Relevant certifications in AI, Cloud Technologies, Agile, or Quality Engineering.
• Thought leadership experience in testing transformation, GenAI adoption, or digital innovation.