Enterprise Test Strategy & QE Transformation Lead

Are you interested in working with the World’s leading AI-first Quality Engineering Company? Ready to advance your career, team up with global thought leaders across industries and make a difference every day? Join us at QualityAI!

We are looking for an Enterprise Test Strategy & QE Transformation Lead to join our growing team in Deerfield Beach, FL United States!

Client-Facing Assessment & 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. The person will interact directly with senior client stakeholders, lead the current-state assessment, define the future-state quality engineering vision, and build a comprehensive, executable Enterprise Test Strategy that can move directly into implementation. The ideal candidate has done this before, has led structured QE assessments, facilitated senior stakeholder workshops, diagnosed enterprise testing challenges, built defensible transformation roadmaps, and produced strategy artifacts that clients can actually operate from.

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.
• Assess 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.

Ideal Candidate Profile:

• The right person is not just a QA manager and not just a consultant. They are a senior QE transformation leader who can walk into a complex client environment, quickly understand how quality is actually operating, identify the root causes behind delivery and testing challenges, and turn that diagnosis into a practical enterprise strategy.
• They should be strong enough to lead the room, structured enough to run a disciplined assessment, technical enough to understand modern QE practices, and pragmatic enough to create a roadmap the client can actually execute.