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Manager- Health

Pubblicato il 06-10-2026 - Datacolor in Italia

Datacolor, a global leader in color management solutions, provides software, instruments and services to improve the precision, performance and efficiency of your color workflow. We understand that details matter, and precise, consistent replication is essential. For more information, visit To support our business, we are looking for a looking for a forward-thinking Software Quality Manager to lead our QA Engineering team through a pivotal transformation.
Position Summary:
We manage a complex ecosystem comprising critical legacy applications and cutting-edge new products. We need a leader who can respect the stability of the past while aggressively architecting the future. You are not just a manager; you are a technical architect of quality. Your primary mandate is to minimize manual intervention by designing an intelligent, automated testing ecosystem. You will spearhead the integration of Artificial Intelligence (AI) into our SQA workflows to generate test cases, optimize pipelines, and predict failures before they reach production.
Essential Duties and Responsibilities:
1.



Strategic Leadership & Management
- Lead, mentor, and grow a team of QA Engineers (Manual and Automation) working across diverse tech stacks.
- Define the Quality Strategy for both Legacy Systems (maintenance, regression, stability) and Greenfield Applications (speed, agility, scalability).
- Foster a “Quality as Code” culture, bridging the gap between developers and QA.

2. AI-Driven Automation & Architecture
- Architect and implement a robust automation framework that supports web, API, and backend testing.
- AI Integration: Champion the use of Generative AI and Machine Learning tools to create self-healing test scripts, automate test data generation, and perform visual regression testing.
- Build and maintain “Intelligent Pipelines” within our CI/CD environment (GitHub/Azure DevOps) that utilize AI to intelligently select and execute tests based on code changes (Test Impact Analysis).

3. Pr

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