
EY, previously known as Ernst & Young, is a British multinational professional services network based in London, United Kingdom
Associate / Senior Associate Data Risk Management (f/m/d)
必备技能
Go
Project Management
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 role
In our Data Risk Management team, you work cross‑functionally on Data Stewardship and Data & AI Governance, helping drive the transformation towards AI‑ready data and a data‑driven organization. Your wide-ranging responsibilities in our team will include:
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Monitoring and coordinating compliance with regulatory requirements related to Data and AI Governance across our service lines and internal departments
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Identifying data and AI risks in service delivery and defining measures to mitigate risks and drive awareness
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Designing efficient and legally compliant Data Lifecycle Management, including data handling, retention, archiving, and disposal
Your skillset
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Completed university degree in Business Informatics, Business Administration, IT Law, or a comparable field with a focus on IT security, as well as initial relevant professional experience as well as knowledge of common industry standards (e.g. AIGP, ISO 27001)
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Confident handling of operational project management and delivery, as well as building strong relationships with key stakeholders
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Knowledge in the areas of Data & AI Governance, Data Protection, and Information Security is an advantage as well as very good German and English skills
Your mindset
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Agile: You believe that a flexible mindset is just as important for success as knowledge and skills.
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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.
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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.
Your benefits
At EY, you will work in high-performing, interdisciplinary teams with innovative technologies. We support you in your various life situations with our flexible and inclusive working environment. Inspiring colleagues as well as training and development opportunities both on and off the job will empower you to grow and develop skills that will equip you for the future. We guarantee a steep learning curve. More about our benefits.
Apply today!
You can find further information on the application process at EY on our Careers page.
Find out what others are saying about us at kununu and Glassdoor.
At EY, we embrace diversity and welcome all applications. Let us know in good time if we can help you by offering an accessible application process.
Any questions? Just call +49 6196 996 10005 and our Recruitment Center will be happy to help.
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关于EY

EY
PublicEY, previously known as Ernst & Young, is a British multinational professional services network based in London, United Kingdom. Along with Deloitte, KPMG and PwC, it is one of the Big Four professional services firms.
10,001+
员工数
London
总部位置
评价
2条评价
2.7
2条评价
工作生活平衡
2.0
薪酬
3.0
企业文化
2.2
职业发展
3.5
管理层
1.8
25%
推荐率
优点
Opportunity to become top performer
Handle large accounts
High responsibility roles
缺点
Long hours and intense work pressure
Poor management and leadership
Burnout issues
薪资范围
31,254个数据点
Mid/L4
Mid/L4 · Operations Research Analyst
1,738份报告
$142,571
年薪总额
基本工资
$136,899
股票
-
奖金
$5,673
$100,128
$203,912
面试评价
7条评价
难度
3.0
/ 5
时长
14-28周
录用率
57%
面试流程
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Technical/Case Interview
5
Partner/Director Interview
6
Offer
常见问题
Behavioral/STAR
Case Study
Technical Knowledge
Past Experience
Culture Fit
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