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 taka a role in our team! 

About the Role  

In this role, you will be using a combination of technical expertise and leadership skills to: 

• Drive engineering excellence by defining and support of coding & architectural best practices. 

• Design and develop engineering upskilling specific for data, ML and AI domain. 

• Develop internal tools used by technical teams to improve and monitor project development process and quality. 

• Conduct independent technical reviews for projects and provide architectural guidance to development teams. 

• Foster a culture of data & engineering quality and accountability through stakeholder engagement, training, and consulting. 

• Guide engineering teams in implementing data governance policies and support creation of data governance policies in collaboration with other teams. 

• Work closely with internal Tech and Business stakeholders, on all levels, to integrate quality standards. 

• Keep abreast of the latest technology trends and regulatory changes impacting data & engineering quality. 

About the Team 

We focus on strengthening data and AI governance practices across Swiss Re. We are the global focus point of data governance in the company, and we closely collaborate with many engineering teams in Zurich, Bratislava, and Bangalore.  

About You 

Nobody is perfect and meets 100% of requirements. If you, however, meet some of the criteria below, we will be happy to meet you. 

• Degree in Computer Science, Information Management, Engineering, Statistics, Mathematics, or a related field, or equivalent experience.  

• Knowledge of Python and/or TypeScript. 

• Ambition to promote software engineering best practices in production grade data ingestion and transformation pipelines. 

• Commitment to staying updated with the latest industry trends, technologies, and regulatory changes. 

• Experience in engaging with stakeholders at all levels, including senior management and external partners. 

If you also have the following experience and interests, it is a huge plus: 

• Experience in distributed computing/databases (e.g. Spark). 

• Experience in building / designing data processing pipelines. 

• Interest in working close to data engineers, data scientists and domain experts. 

If you do not have some or any of those but are eager to learn them, get in contact with us.  

The minimum gross monthly base salary for this role is 3300 EUR full time. Our final offer to you will be set up fairly, considering the skills and experience that you bring to the Swiss Re Group. You can look forward to extra rewards and benefits including an attractive performance-based bonus.  

This job offer is suitable for people who have been impacted by the invasion of Ukraine.   

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

Thank you for taking the time to read our job advertisement. We look forward to getting to know you!  

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.