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

Enterprise Quality & Delivery Lead (AI-Driven QA Transformation) New York Orlando Big team (20+ people) If you received this vacancy from our recruiters — read our Privacy Notice . Client Our client is a global organization focused on professional education and certification. Join a great company, not merely an individual project 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 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. Hands-on experience with AI-driven testing tools or frameworks (Playwright). Hands-on experience with Typescript 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. We offer Vacation As per the laws of your country. We do ask you to take a proper rest Health insurance We help you to take out an insurance policy for you and your loved ones According to the official calendar, regardless of the client’s schedule Pleasant environment Two large corporate parties and many small get-togethers for colleagues Comfort service Solving technical and everyday problems at work The benefits package may vary depending on the region and the type of contract Most wanted QA Trainee Ukraine Colombia Remote.LATAM We are looking for a Senior QA Analyst to help ensure the delivery of high quality software products within a collaborative Agile environment What does DataArt do, and which industries does it serve? DataArt is a global software engineering company that helps businesses build powerful data, analytics, and AI solutions. We work with clients across a range of industries — including Finance, Healthcare & Life Sciences, Consumer Goods & Retail, Travel, Media & Entertainment, Mobility, and Manufacturing. FAQ for Candidates Work on global projects, grow your career in a supportive, flexible, and innovative tech environment. We help cover the cost of IT certifications and provide access to top-tier courses and learning platforms. Work on global projects, grow your career in a supportive, flexible, and innovative tech environment. We help cover the cost of IT certifications and provide access to top-tier courses and learning platforms. DataArt supports flexible work formats to help you find the balance that works best for you. You can choose to work from the office, go hybrid, or stay fully remote—each option comes with equal opportunities for growth. We’ll help set you up with secure access and the equipment you need. With 46 remote and onsite official locations, you can join us from almost anywhere in the world. DataArt supports flexible work formats to help you find the balance that works best for you. You can choose to work from the office, go hybrid, or stay fully remote—each option comes with equal opportunities for growth. We’ll help set you up with secure access and the equipment you need. With 46 remote and onsite official locations, you can join us from almost anywhere in the world. At DataArt, we put people first—fostering a culture built on trust, flexibility, and professional growth. We believe in open communication, mutual respect, and the freedom to choose how and where you work. Diversity, equity, and inclusion are core to our values, and we actively support a workplace where everyone can thrive. From mental health support to global sustainability efforts, we aim to create a healthy, empowering environment for all. What is the typical career path at DataArt? There's no one-size-fits-all career path at DataArt—your growth is yours to shape. Whether you want to deepen your technical skills, move into management or sales, or even switch professions entirely, you'll have the support to do it. With exam fees fully covered, you can also earn professional certifications, like AWS, Azure, or Google Cloud. With tools like the Professional Development Map, the Talent Lab, and access to expert mentoring, we help you build your desired career. What can I expect in terms of compensation and benefits at DataArt? DataArt offers competitive compensation along with a range of thoughtful benefits that support your well‑being, growth, and daily comfort. You’ll get flexible vacation and sick leave, mental health programs, and access to a corporate laptop or BYOD option. We also offer bonuses for referrals, parental leave, and smooth exit and return-to-work options. How does DataArt approach employee retention and turnover? At DataArt, we focus on creating an environment where people want to stay and grow. With 95% of employees recommending us to a friend on Glassdoor and a 100% CEO approval rating, we’re proud of the trust we’ve built. From mentoring programs and professional development services to support and conflict resolution programs, we invest in our colleagues' growth and wellbeing—because when people feel valued, they stick around. What is the interview process like, and how can I prepare? Our interview process is designed to be thorough, transparent, and supportive. It starts with a CV review, followed by an HR interview to discuss your background and goals. You'll then go through communication and technical assessments, where we evaluate your English skills and knowledge of relevant technologies. If all goes well, you’ll meet someone from the project team to learn more about the work, and we’ll guide you every step of the way—including helping you prep for any client interviews. Read more and get tips for each stage here . What skills and experience does DataArt look for in candidates? DataArt looks for candidates with strong technical skills, analytical thinking, and a commitment to #J-18808-Ljbffr DataArt