Global Legal Counsel - Data Protection

Ernst & Young Advisory Services Sdn Bhd
Manchester
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Corporate Counsel - Intellectual Property & Artificial Intelligence

Data Scientist

AI Data Scientist

Research Engineer, Data (Foundational Research, Machine Learning)

Staff Machine Learning Architect - Assembly Coding and Performance Engineer

Staff Machine Learning Architect - Assembly Coding and Performance Engineer

Our global data protection team is seeking a qualified data protection lawyer to advise on and coordinate data protection matters, in particular, to advise the business on privacy, confidentiality, artificial intelligence and data protection matters and assist with the completion of complex data protection impact assessments (“PIAs”) of EY’s global systems and applications and also overseeing the work of other resources and EY’s Global Delivery Service (“GDS”) involved in the completion of PIAs. The global data protection team is responsible for the implementation and transformation of EY’s privacy compliance program, which include Binding Corporate Rules. The team works closely with all parts of the business on data protection matters, including both personal data privacy, artificial intelligence and the protection of client and EY confidential information.

Position summary:

As the Global Legal Counsel – Data Protection, you will be responsible for providing legal advice to Service Lines / Sub Service Lines regarding the requirement of completion of Privacy Impact Assessments and broader confidentiality, artificial intelligence and data protection risks. Also, for overseeing the Global PIA intake and triaging process and the completion of privacy impact assessments for EY’s global systems and applications (including privacy impact assessments of a complex nature).

You will be working closely with business stakeholders, the other members of the global data protection team, and EY Regional/Local Privacy Leaders as well as overseeing data protection resources in EY’s GDS locations in India, China, Argentina and Poland.

Essential functions of the job:

  1. Implement and oversee EY’s global PIA program including providing advice regarding the completion of more complex PIAs and overseeing other resources (including EY’s GDS team) involved in the completion of PIAs;
  2. Work as Legal Advisor and PIA POC for one of EY´s Global Service Lines (Tax, Assurance, Consulting or SaT) to help understand their development pipeline of new tools and support privacy by design development;
  3. Support the transformation of the PIA process to work efficiently within the global EY organization on a data protection management platform and adapt to new regulatory frameworks such as for AI technologies;
  4. Communicate effectively and consistently with key stakeholders (EY Service Line personnel, Global IT, General Counsel’s Office, Risk Management, Talent, IT and Service Line representatives);
  5. Work with a team of data protection resources globally throughout EY;
  6. Raise awareness among EY personnel globally regarding the importance of compliance with data protection regulations and EY’s own privacy compliance program;
  7. Identify legal and regulatory risks surrounding global data protection issues and implement solutions to mitigate such risks;
  8. Respond to requests from business stakeholders relating to applicable data protection legislation;
  9. Escalate to the Global Data Protection Leader any significant compliance issues and plans for their resolution, as well as implications of local data protection regulations applicable throughout EY globally;
  10. Provide general support to the global data protection team.


Knowledge, competency and skill requirements:

  1. Must be legally qualified and holding a current practicing certificate;
  2. Ideally between 3-5 Years Relevant Legal Experience (ideally with some time in Private Legal Practice, in house experience also viewed favourably including proven experience in the field of data protection in cross border situations (including conducting complex PIAs));
  3. Solid knowledge in EU data protection legislation (specifically the GDPR) and ideally familiarity with the legislation of one or more other jurisdictions;
  4. Ideally, internationally recognized privacy certification, such as CIPP/E, CIPT and CIPM;
  5. Excellent command of the English language;
  6. Sensitivity to intercultural contacts and communication.

What we offer:

As part of this role, you'll work in a highly integrated, global team with the opportunity and tools to grow, develop and drive your career forward. Here, you can combine global opportunity with flexible working. The EY benefits package goes above and beyond too, focusing on your physical, emotional, financial and social well-being. Your recruiter can talk to you about the benefits available in your country. Here’s a snapshot of what we offer:

  1. Continuous learning:You’ll develop the mindset and skills to navigate whatever comes next.
  2. Success as defined by you:We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
  3. Transformative leadership:We’ll give you the insights, coaching and confidence to be the leader the world needs.
  4. Diverse and inclusive culture:You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

Please apply to this role only through the ‘Apply’ link (not through the local office). Your application will then be routed to the appropriate recruiting team.

The exceptional EY experience. It’s yours to build.

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.