Enterprise Test Strategy & QE Transformation Lead

Role Overview

We are looking for a senior Quality Engineering leader to lead enterprise-level test strategy and QE transformation assessments for a large, complex client environment. This is a client-facing leadership role.

What You’ll Do

• Lead enterprise Quality Engineering assessments across large, complex organizations with multiple business units, applications, technology stacks, and delivery models.
• Run structured discovery activities, including stakeholder interviews, current-state process mapping, tooling inventory, artifact reviews, and maturity assessments across QE and adjacent engineering functions.
• Facilitate on-site workshops with CTOs, QE leaders, technology executives, BU testing leads, product teams, engineering teams, and business stakeholders.
• Build evidence-backed, concrete findings vs generic - for example, diagnosing why testing lags, why automation is not scaling, where UAT/SIT boundaries are unclear, or where tooling/process fragmentation is creating delivery risk.
• Audit current-state maturity across key QE domains, including test automation, AI-enabled testing, performance engineering, test data management, DevOps/CI-CD integration, governance, tooling, and operating model.
• Produce core diagnostic artifacts such as quality maturity heatmaps, risk-based test prioritization models, UAT/SIT boundary analysis, automation maturity views, tooling rationalization analysis, and QE operating model recommendations.
• Define the future-state quality engineering vision, governance model, delivery model, and prioritized transformation roadmap in partnership with the client.
• Build a Master Enterprise Test Strategy covering Agentic AI, AI/GenAI Assurance, automation, AI-enabled testing, performance, test data management, DevOps integration, quality governance, metrics, people/process/culture, and business-unit adoption.
• Define outcome-based KPIs and metrics frameworks tied to business outcomes, quality improvement, delivery acceleration, risk reduction, and maturity uplift - not just activity counts.
• Develop RACI models, governance structures, and operating models for Quality Centers of Excellence, embedded QE teams, business-unit testing teams, and shared services.
• Translate findings into a practical Design-phase roadmap with named deliverables, sequencing, ownership, dependencies, and visible quick-win opportunities within the first 30 days.
• Co-present findings and recommendations directly to senior client stakeholders and defend the diagnosis under challenge or pushback.
• Partner with solution, account, and delivery teams to ensure the roadmap is realistic, executable, and grounded in what was actually discovered.
• Hand off a prioritized, phased execution roadmap into implementation, ensuring continuity between assessment findings and delivery outcomes.
• Lead the implementation of newly defined Enterprise Test Strategy during the steady state in the role of an Enterprise Test Architect.

What You’ll Bring

• 15+ years of experience in software quality engineering, QA transformation, enterprise testing, or related technology delivery leadership roles.
• Proven experience leading enterprise QE strategy, test strategy, quality transformation, or assessment engagements for large organizations.
• Strong background across the full quality engineering landscape, including test automation, in-sprint automation, AI-enabled testing, performance testing, test data management, DevOps/CI-CD, UAT/SIT design, and QE governance.
• Strong working awareness of AI/GenAI in Quality Engineering, including where it can accelerate testing outcomes and where foundational QE practices, data quality, automation maturity, and governance must be strengthened first.
• Experience creating Enterprise Test Strategy documents, maturity assessments, transformation roadmaps, governance frameworks, and executive-level recommendations.
• Ability to lead structured discovery with senior stakeholders and synthesize findings into clear, defensible, evidence-backed recommendations.
• Experience designing TCoE operating models, embedded vs. centralized QA models, governance structures, RACI models, and business-unit testing standards.
• Familiarity with enterprise testing tool ecosystems and the ability to lead tooling rationalization assessments.
• Working knowledge of AI/GenAI applications within quality engineering, including test generation, defect triage, coverage analysis, automation acceleration, and where AI is useful versus where foundational QE maturity is still required.
• Strong executive communication skills, including the ability to build board/CTO-level artifacts such as heatmaps, roadmaps, maturity models, strategy decks, and transformation plans.
• Confident, opinionated communicator who can act as a challenger partner to the client - not a yes-vendor or passive facilitator.
• Comfortable operating without a finished playbook. Much of the assessment, design, and roadmap content will be co-created live with the client.
• Ability to operate in a complex, multi-business-unit enterprise environment with multiple stakeholders, competing priorities, fragmented processes, and varying levels of QE maturity.
• Florida-based or willing to commit to on-site client presence in Florida 3 days per week during active engagement periods.

Preferred Experience

• Background in automotive, financial services, distribution, retail, dealer-network, insurance, or other complex multi-BU enterprise environments.
• Experience leading QE transformation for organizations with centralized and decentralized testing teams.
• Experience driving adoption across resistant business units or teams with varying levels of quality maturity.
• Experience transitioning assessment findings into delivery roadmaps that can be executed by implementation teams.
• Experience working with senior technology and business stakeholders in high-visibility transformation programs.

Why QualityAI?

• Be a part of a company who strives to support for diversity and inclusion in the workplace - we are one, we are many at QualityAI. Celebrate culture, share knowledge with engineers from around the globe, and inspire each other through our differences.
• Local and global opportunities - we offer you internal rotation and international mobility opportunities to grow your career.
• A clear view of your career and progression with the company - QualityAI is growing massively (since Jan 2021 - added more than 2000 engineers) and giving you the opportunity to grow with us.
• Work hard and play harder with our flexible and casual culture. Take a break from work and join an employee event, or enjoy the amenities and games provided from one of our Employees Centers.
• Never stop experimenting and learning with QualityAI Tech academy: 3000+ training courses, mentorship programs, technical tribes, sponsored certifications, leadership programs and much more.
• Earn bonuses via our Client Referral and Employee Referral Program’s. Refer and earn - tap your network for net-worth.
• A Competitive pay, the salary range for the role is $200,000 - $250,000.