At a Glance
- Tasks: Design and run Data Ethics operations, ensuring compliant data usage across jurisdictions.
- Company: Join a leading tech company focused on responsible data practices.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with collaborative projects and a focus on innovation.
- Why this job: Shape how data is used safely at scale and make a real impact.
- Qualifications: Degree in relevant field and experience in data privacy or legal operations.
The predicted salary is between 72000 - 88000 £ per year.
In this role you help design and run the Data Ethics and Legal operations, enabling compliant data usage across jurisdictions. You will streamline data subject requests, develop practical playbooks and templates, and manage AI-enabled processes to support responsible data practices. You’ll work with cross-functional partners to improve workflows, document knowledge resources, and plan projects that strengthen privacy and governance. This position offers impact by shaping how data is used safely at scale within LiveRamp’s global teams.
Responsibilities
- Coordinate data subject request management across intake, routing, deadlines, and closure, handling high-risk or multi-jurisdictional cases.
- Develop and maintain playbooks, decision trees, templates, and escalation criteria for data ethics, privacy, and regulatory processes.
- Oversee privacy questionnaire workflows, draft AI-assisted responses from approved data, and escalate complex questions to legal or privacy experts.
- Contribute to the design of responsible AI controls including data sources, permissions, traceability, audit trails, and human approvals.
- Analyze organizational workflows to propose improvements and optimize operations.
- Create and maintain team process documentation, presentations, and lead cross-functional projects.
- Maintain Data Ethics knowledge resources and keep documents accurate and accessible.
- Create, modify, and manage content on the Data Ethics intranet site.
- Assist with project planning, training content design, and development of instructional materials.
- Produce operational reporting on questionnaire volumes, turnaround times, escalations, and improvement opportunities.
Key requirements
- Degree in a relevant discipline.
- Experience in data privacy, data ethics, legal operations, or regulatory operations.
- Strong analytical abilities with review and editing of documents.
- Collaborative mindset to align with business stakeholders and enhance data protection practices.
- Ability to translate complex legal and regulatory requirements into practical processes and guidance.
- Experience applying AI or automation to privacy-related workflows.
- Hands-on experience with AI agents, automation, or AI-assisted workflows in business settings.
- Self-motivated, proactive, and able to work with ambiguity and manage multiple priorities.
- Excellent written and verbal communication, presentation, and negotiation skills.
- Strong proficiency in Salesforce and Google Suite applications (Google Slides preferred).
- Comfort with fast-paced environments and handling complex escalations.
Data Ethics & Legal Operations Analyst employer: LiveRamp
LiveRamp is an exceptional employer that prioritises innovation and collaboration, making it a prime choice for professionals in the tech industry. With a strong commitment to diversity, inclusion, and employee growth, LiveRamp fosters a dynamic work culture where team members are encouraged to bring their full selves to work and contribute to meaningful projects. Located in a vibrant area, employees benefit from flexible working arrangements and the opportunity to engage with leading global brands, enhancing both personal and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Ethics & Legal Operations Analyst
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like LiveRamp.
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We think you need these skills to ace Data Ethics & Legal Operations Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at LiveRamp, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at LiveRamp. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at LiveRamp
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at LiveRamp!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
