Test Automation & AI-Enabled Quality Engineering :

- Design and maintain a holistic test automation strategy for the ZEISS ServiceNow platform, aligned with GSTC.

- Standardize tools and frameworks, with strong focus on ServiceNow Automated Test Framework (ATF), and ensure effective use across teams.

- Ensure that automation is scalable, maintainable, and sustainable, supporting long-term platform evolution.

- Identify and promote AI use cases in QA, such as AI-assisted test design, data generation, defect pattern analysis, and ATF test generation.

- Evaluate and introduce AI-enabled tools and methods in line with ZEISS responsible AI guidelines, in alignment with Governance QA and GSTC.

- Define guardrails, best practices, and examples for AI-supported testing tasks to ensure quality, transparency, and compliance.

- Coach Test Managers, QA engineers, and developers on using AI and automation effectively in test design, execution, and defect analysis.

- Foster a culture of experimentation and continuous learning around AI-enabled quality engineering.

QA Governance & Collaboration :

- Collaborate closely with the Global Software Test Center to align on overarching QA strategies, standards, and methodologies.

- Reuse and adapt GSTC frameworks, assets, and best practices for the ServiceNow context, and share ServiceNow-specific learnings back.

- Support harmonization and standardization of QA processes, test automation approaches, and tooling between CIT-GP and GSTC.

- Define, refine, and govern QA processes (e.g., user acceptance, functional, non-functional, regression, and automated regression testing).

- Ensure QA processes are consistently applied and integrated into project and product delivery models.

- Maintain clear, up-to-date documentation of QA and test automation processes, standards, and guidelines.

- Establish mechanisms to monitor adherence to QA processes, identify gaps and risks, and drive corrective and preventive actions.

QA Metrics, Continuous Improvement & Agile Delivery :

- Define meaningful QA KPIs for the ServiceNow platform (e.g., test coverage, automation rate, defect trends, execution stability).

- Implement and maintain dashboards and reporting mechanisms for QA KPIs and regularly communicate insights to management and Product Owners.

- Identify opportunities to improve efficiency, effectiveness, and reliability of testing and QA processes based on data and industry trends.

- Evaluate and recommend new tools, methods, and approaches in collaboration with GSTC and Governance QA.

- Support prioritization, planning, and implementation of QA and test automation improvements, from concept through rollout and adoption.

- Promote quality-by-design principles and integrate QA and test automation activities into agile ceremonies and workflows.

- Act as a trusted advisor on QA, test automation, and AI-supported testing for ServiceNow teams and stakeholders across ZEISS.

Education & Work Experience :

- 8+ years of professional experience in software quality assurance and test automation, ideally in an enterprise environment.

- Experience with multiple ServiceNow modules (e.g., ITSM, ITOM, HRSD, ITRF or similar).

- Practical ServiceNow experience, including administration, core development concepts, and technical components (e.g., flows, business rules, Client Scripts, UI Policies).

- Hands-on expertise with ServiceNow ATF, test automation best practices, frameworks, patterns, and automated test suite design and maintenance.

- Strong knowledge of software testing principles, methods, and life cycle; ISTQB Foundation Level (or higher) or comparable qualification.

- Experience defining and working with QA processes (UAT, functional, regression, non-functional testing, and test automation).

- Openness to and experience with AI-supported tools in development or QA, focusing on responsible, value-adding use.

- Proven experience in agile environments (Scrum) and cross-functional collaboration.

- Strong communication skills, high self-organization, ownership, and initiative, with a focus on quality, reliability, and continuous improvement.

- Strategic and analytical thinking, with the ability to translate QA strategy into concrete actions and measurable outcomes.

- Degree in computer science, information systems, software engineering, or a comparable qualification.

- Very good written and spoken Communication.