Enterprise Quality & Delivery Lead (AI-Driven QA Transformation)

Client: Our client is a global organization focused on professional education and certification.

Project overview: Our client is undergoing a strategic quality transformation aimed at elevating QA to a core enterprise delivery driver. The Enterprise Quality & Delivery Lead will play a key role in shaping and executing this transformation, integrating AI-driven capabilities, and driving quality-centric delivery governance across complex enterprise environments.

• Position overview: We are seeking a highly experienced Enterprise Quality & Delivery Lead with a strong background in QA leadership and demonstrated success transitioning into program, project, or delivery management roles. This strategic, client-facing position requires a holistic and business-oriented approach to QA, strong stakeholder management capabilities at the executive level, and a visionary mindset for embedding AI into modern quality engineering ecosystems.

• You will act as a trusted partner to senior client stakeholders (C-1 / C-2 levels) and collaborate closely with the client’s Senior QA Director to define and drive enterprise-wide quality strategy, governance, and innovation.

• The estimated salary range for this position is from 120,000 to 150,000 USD per year.

• Responsibilities: Serve as a strategic advisor and peer to senior client stakeholders, including C-level executives and their teams.

• Partner with the Senior QA Director to define, evolve, and promote enterprise quality strategy.

• Advocate for quality as a business enabler focusing on business outcomes, risk reduction, and delivery excellence.

• Provide end-to-end visibility into delivery processes to ensure alignment across QA, engineering, and business teams.

• Operate effectively in large-scale, complex enterprise environments involving multiple cross-functional teams.

• Ensure governance, transparency, and predictability in QA and delivery workflows.

• Lead the evolution from traditional QA to AI-enabled, insight-driven quality engineering.

• Identify and implement opportunities for AI-assisted testing, predictive quality analytics, and process optimization.

• Promote best practices such as continuous testing, shift-left strategies, and intelligent automation.

• Maintain a big-picture view of the software development lifecycle and delivery lifecycle.

• Align quality initiatives with broader enterprise transformation efforts.

• Balance quality goals with speed and broader business priorities.

Requirements: Proven career progression: QA Engineer QA Lead QA Manager* Program/Project/Delivery Manager.

• Extensive experience in enterprise environments with complex, cross-team delivery structures.

• Ability to operate effectively at both strategic and operational levels.

• Experience engaging directly with C-level and senior stakeholders in a business context.

• Excellent communication skills capable of translating technical topics into business language.

• Solid understanding of modern QA practices, automation, and AI trends in testing.

• Strong holistic mindset with an ability to see beyond QA to overall delivery effectiveness.

• Experience driving QA and delivery transformation initiatives.

• Nice to have: Hands-on experience with AI-driven testing tools or frameworks (Playwright).

• Experience leading QA transformation or modernization programs.

• Familiarity with large enterprise systems such as ERP, e-commerce, and cloud platforms.