
Early Careers Programme - Data Policy
Do you have a passion for data protection and a drive to make a positive change in the world? The World Economic Forum's Early Careers Programme – Data Policy is looking for an enthusiastic and highly motivated individual to join our team.We’re looking for an individual with a strong understanding of data protection law and experience of developing and implementing data protection policies, who is excited to learn about the socio-economic and geopolitical implications of data protection and digital trust.The ideal candidate will be an excellent communicator, with the capacity to develop trusted relationships with a variety of stakeholders from across the public and private sectors. They will also have an interest in developing expertise in the broader data policy landscape, including digital trust, artificial intelligence, and data governance.We’re looking for a problem-solver who is passionate about making a positive impact on the world through data policy. Are you the one we’re looking for?
Or Related Field
Excellent Communication And Interpersonal Skills
Bachelor's Degree In Data Science
Data Governance
Experience With Data Governance
Privacy
And Security
Knowledge Of Regulation And Data Protection Policies
Ability To Establish And Maintain Trustful Relationships With Stakeholders
Experience In Developing
Documenting
And Enforcing Data Policies
Knowledge Of Data Management Systems And Tools
Business Analysis
Project Management
Data Analysis
Communication
Data Security
Problem Solving
Leadership
Machine Learning
Data Visualization
Data Mining
Collaboration
Data governance
Stakeholder management
Data Modelling
Data Protection
Communication
Leadership
Time management
Interpersonal Skills
self-motivation
Critical thinking
Creative Thinking
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Early Careers Programme - Data Policy in San Francisco, CA, USA is between $100,000 and $125,000 per year. This is an estimate based on salaries reported by real people who have held similar positions in the past. It is important to note that salaries can vary widely depending on factors such as level of experience, education, industry, and geographic location.
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