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Join us, at Wolters Kluwer, and be part of a dynamic global technology company that makes a difference every day. We’re innovators with impact. We provide expert software & information solutions that the world’s leading professionals rely on, in the moments that matter most.
You’ll be supported by collaborative colleagues who share a purpose. We are 21,000 people unique in our dreams, life stories, abilities, and passions who come together every day with one ambition: to make a difference. We do our best work together, connecting to create new innovations with impact.
We are hiring a QA Lead to drive the quality strategy and leadership across a multi-layered analytics ecosystem (Data and AI) that powers enterprise decision-making. This role is ideal for someone who combines strategic thinking, cross-functional leadership, and a solid understanding of data platform operations.
This is a leadership-first role, with a strong focus on quality governance, and cross-team alignment. While the primary emphasis is on leading and shaping quality practices, a solid technical foundation is essential. Particularly in understanding data platforms and live systems, to effectively guide the team, make informed decisions, and uphold quality standards.
Responsibilities:
Define and own the QA strategy for the analytics ecosystem, ensuring alignment with business goals and engineering priorities.
Lead and mentor QA engineers, fostering a culture of quality ownership, collaboration, and continuous improvement.
Ensure QA practices are aligned with the company-wide standards, contributing to guild initiatives and helping evolve shared best practices.
Establish and monitor quality KPIs across data, BI, and web layers, including data accuracy, system performance, and release readiness.
Partner with engineering, product, and data teams to embed quality early in the development lifecycle.
Drive risk assessment, release governance, and production validation processes.
Guide automation efforts and CI/CD integration
Support troubleshooting and root cause analysis for production issues, with a focus on data accuracy and system stability
Hands-on in critical areas, actively contributing to test design, data validation, and production monitoring to ensure quality is upheld in live environments
Knowledge, Skills, Abilities:
Proven experience leading QA efforts in data-centric or analytics-driven environments.
Ability to define and execute QA strategies, including test planning, risk management, and release readiness.
Excellent communication, stakeholder management, and leadership skills.
Strong experience in mentoring and developing QA engineers, fostering a culture of ownership, accountability, and continuous improvement.
Skilled in cross-functional collaboration, working closely with engineering, product, and data teams to embed quality throughout the development lifecycle.
Experience working in Agile environments, including Scrum and SAFe frameworks.
Understanding of data platforms, ETL/ELT processes, and data quality principles.
Familiarity with Python and SQL for data validation and automation.
Experience with Microsoft Azure data services (Data Lake, Data Factory, etc.).
Our Offer:
Room for personal development through external, internal training tools and learning and development program #GROW. Be your unique self, share your creative ideas, do your best work, and take time to grow in our caring and inclusive culture where you can belong
Annual incentive plan based on division financial performance and your seniority
Referral bonus, meal vouchers, monthly allowance, gift vouchers twice a year
Corporate Health Insurance
Mindfulness and Wellbeing programs (Wellbeats, MyQuillibrium, Compsych, Mind & Body webinars)
Up to 28 days of annual leave based on seniority
We have a strong Work from Home culture and take into consideration punctual needs and more
Flexible working schedule. You’ll find the flexibility for balance in your life
Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.