Data Issue & Data Quality Manager

About Data & AI Governance

 

Unlock the Power of Data with Us! In a world where data is ubiquitous, we provide the structure and processes to unleash the full potential of our in-house data, powering the latest AI-based applications. Are you an energetic, self-motivated, and tech-savvy professional? We invite you to take a leading role in our new team.

 

About the Role

 

In this role, you will be at the forefront of our data governance efforts. Your key responsibilities will include:

• Leading a Team: Manage and inspire a team of data issue & quality management experts, driving governance excellence across the Swiss Re Group.

• Framework Accountability: Oversee the central data issue management framework and solutions, ensuring they meet stakeholder requirements.

• Quality Control: Develop and maintain a robust data quality control framework and monitoring system.

• KPI Development: Design and evolve a comprehensive Data Quality KPIs framework to track and enhance data quality continuously.

• Advanced Tools Utilization: Leverage state-of-the-art tools to track data issues, analyze root causes, and implement effective solutions.

• Stakeholder Collaboration: Work closely with internal Tech and Business stakeholders, on all levels, to integrate data issue management and quality standards into the overall data governance framework.

• Best Practice and Culture Promotion: Foster a culture of data quality and accountability through stakeholder engagement, training, and consulting.

• Stay on top of the latest developments: Keep abreast of the latest technology trends and regulatory changes impacting data quality.

 

 

About the Team

 

Our department, part of Group Data Services, is committed to strengthening data and AI governance practices across Swiss Re. We are the global focus point of data governance, operating from Zurich, Bratislava, and Bangalore, focusing on meeting regulatory requirements and enhancing data issue management and quality control.

 

About You

 

• Educational Background: University degree in Computer Science, Information Management, Engineering, or a related field, or equivalent experience. is a must.

• Proven Expertise: Demonstrated experience in data management and data quality leadership roles.

• Framework Knowledge: Skilled in leading data issue management and quality frameworks and solutions.

• Governance Principles: Strong understanding of data governance principles. Knowledge of the DAMA framework desirable

• Tool Proficiency: Expertise in data management platforms and tools, including data profiling, quality tools, data visualization tools, and relational databases.

• Leadership Experience: Proven ability to lead teams and collaborate within a global network of data experts.

 

We provide feedback to all candidates via email. If you have not heard back from us, please check your spam folder. 

 

About Swiss Re

 

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.

 

 

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