At a Glance
- Tasks: Lead AI-driven QA innovation and transform enterprise quality assurance processes.
- Company: Global leader in professional education and certification with a dynamic team.
- Benefits: Health insurance, vacation, corporate events, and a supportive work environment.
- Other info: Join a collaborative team focused on modernising QA practices for large-scale clients.
- Why this job: Drive impactful change in QA using cutting-edge AI technologies and methodologies.
- Qualifications: 8+ years in QA with expertise in automation and AI-driven testing.
The predicted salary is between 80000 - 100000 € per year.
Location: London
Big team (20+ people)
Client: Our client is a global organization focused on professional education and certification.
Position overview: The Enterprise QA Innovation Lead is responsible for driving innovation and transformation across enterprise QA engagements. This role focuses on AI-driven QA, process optimization, automation strategies, and predictive quality intelligence for large-scale enterprise clients. The focus is on elevating QA from execution to a strategic, innovation-led function, improving efficiency, accelerating delivery, and reducing risk across complex integrated systems.
Responsibilities:
- Lead the design and implementation of AI-driven QA frameworks that optimize test coverage, detect anomalies, and generate predictive quality insights.
- Drive process innovation across enterprise QA engagements, identifying opportunities to reduce manual effort, accelerate delivery, and standardize QA practices.
- Collaborate with enterprise clients, internal QA teams, and engineering teams to integrate modern QA methodologies into the SDLC, including shift-left, continuous testing, and CI/CD pipelines.
- Develop and deploy advanced automation strategies, leveraging AI-assisted test generation and intelligent regression testing for ERP, e-commerce, and cloud-native applications.
- Define metrics and analytics frameworks to monitor QA efficiency, automation ROI, defect trends, and predictive quality indicators.
- Evaluate and introduce emerging QA technologies, AI-driven tools, and best practices for enterprise software quality.
- Act as a strategic innovation partner to enterprise clients, shaping QA approaches for complex environments and delivering measurable business value.
- Lead QA modernization initiatives across enterprise accounts, focusing on process efficiency, automation, and predictive QA adoption.
Requirements:
- 8+ years of QA experience, including hands-on experience with automation frameworks, AI-driven testing, and large-scale enterprise systems.
- Demonstrated ability to implement AI-assisted QA tools, predictive QA, and continuous testing strategies.
- Proven experience optimizing QA processes for ERP, e-commerce, and cloud-native applications.
- Strong analytical and problem-solving skills, with experience defining QA metrics and predictive insights.
- Experience collaborating with enterprise clients and internal teams to implement innovative QA solutions.
- Excellent communication skills, able to convey technical innovation and strategic QA improvements to stakeholders.
Nice to have:
- Experience with AI testing tools such as Playwright MCP, Cursor, or equivalent.
- Proven track record in QA digital transformation initiatives.
Benefits:
- Vacation as per the laws of your country.
- Health insurance for you and your loved ones.
- Pleasant environment with corporate parties and get-togethers.
- Comfort service – solving technical and everyday problems at work.
- Benefits package may vary depending on the region and the type of contract.
Enterprise QA Innovation Lead, AI-Driven Transformation employer: DataArt Solutions, Inc
As a global leader in professional education and certification, our company offers an exceptional work environment for the Enterprise QA Innovation Lead role in London. With a focus on innovation and transformation, we provide ample opportunities for employee growth through cutting-edge AI-driven projects and collaborative teamwork within a large, dynamic team. Our commitment to a supportive culture, comprehensive health benefits, and engaging corporate events makes us an attractive employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Enterprise QA Innovation Lead, AI-Driven Transformation
✨Tip Number 1
Network like a pro! Reach out to your connections in the QA and tech space. Attend industry meetups or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving AI-driven QA and automation strategies. This will give potential employers a clear view of what you can bring to the table and how you can elevate their QA processes.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in QA and AI technologies. Be ready to discuss how you've implemented innovative solutions in the past. We want to see your passion for transforming QA into a strategic function!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our company. Let’s get you that dream job together!
We think you need these skills to ace Enterprise QA Innovation Lead, AI-Driven Transformation
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AI-driven QA and automation strategies. We want to see how you've optimised processes and delivered measurable results in previous roles, so don’t hold back!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about QA innovation and how your skills align with our mission at StudySmarter. Keep it engaging and relevant to the role.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex QA challenges. We love seeing analytical thinking in action, especially when it comes to implementing predictive quality insights or automation strategies.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at DataArt Solutions, Inc
✨Know Your AI-Driven QA Inside Out
Make sure you brush up on the latest trends in AI-driven QA and automation strategies. Be ready to discuss how you've implemented these technologies in your past roles, as well as any specific tools like Playwright MCP or Cursor that you've used.
✨Showcase Your Process Innovation Skills
Prepare examples of how you've driven process innovation in previous positions. Think about times when you reduced manual effort or improved efficiency in QA practices, and be ready to share these stories during the interview.
✨Collaboration is Key
Since this role involves working with various teams, be prepared to talk about your experience collaborating with clients and internal teams. Highlight any successful projects where you integrated modern QA methodologies into the SDLC.
✨Metrics Matter
Understand the importance of defining metrics and analytics frameworks in QA. Be ready to discuss how you've monitored QA efficiency and defect trends in the past, and how you can apply this knowledge to the new role.
