ARE YOU READY TO SHAPE YOUR FUTURE WITH CONFIDENCE?

Working together to make the world a little bit better every day. This is our purpose at EY and as a team we go all in to work towards our bold ambition: to create long-term value and growth – for our clients, our people and society. Our network of around 400,000 people around the world offers you every opportunity to grow, develop, specialize and pursue your professional strengths and interests. We believe that the right career path is as individual as you are.

YOUR SKILLSET

• Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field, and at least 5 years of experience in data management as well as experience in a leadership role
• Experience in building data solutions on a scalable Cloud infrastructure, strong understanding of data mesh principles and experience in implementing data mesh architectures as well as expertise in data governance, data architecture, and data quality management
• Excellent bilingual (English and German) communication skills as well as and stakeholder management skills

YOUR MINDSET

• Agile: You believe that a flexible mindset is just as important for success as knowledge and skills.
• Curious: You are ambitious and committed. We are looking for people who think in terms of opportunities instead of challenges and ask targeted questions to unlock better answers.
• Collaborative: You value diverse perspectives and enjoy working in a team. We are looking for people to help us shape the future and create a working environment based on trust.

As part of our Data Office organization for Germany in Frankfurt/Main, Hamburg, Köln, Leipzig or Stuttgart your contributions will be instrumental in shaping our strategic roadmap for the data transformation. You will take on a wide range of tasks:

• Data Strategy Management: Oversee and implement a data strategy that aligns with EY Germany’s objectives and the global data office strategy
• Platform Ownership: Act as the Product Owner for the data product lifecycle management platform (D.A.T.A.), managing its roadmap, implementation, and success metrics while ensuring user-centric design
• Team Leadership: Lead data science and engineering teams, promoting a culture of innovation and collaboration, and guiding the development of advanced analytics and machine learning models
• Data Governance and Architecture: Enforce data governance policies and design enterprise data architecture to ensure data quality, security, and compliance with global standards
• Stakeholder Engagement: Serve as the liaison between the EY Germany Data Office and other departments, promoting data literacy and a data-driven culture aligned with global initiatives