EY
Risk Consulting – Digital Risk Senior – Responsible AI
We always support and enable big ideas with the ambition to keep doing more. We leverage leading practices and years of practical experience developing responsible AI capabilities for and with clients across sectors to ensure the highest level of execution and satisfaction for our clients. Come help define the future of AI while enabling safe innovation at pace.
The opportunity: your next adventure awaits.
Are you a tech-savvy professional with a risk mindset who is passionate about building a better working world through the power of people, technology, and innovation? We have an incredible opportunity for you to join our dynamic Digital Risk team and make a real impact in the rapidly evolving world we live in. Within Risk Consulting, you will focus in the areas of Artificial Intelligence (AI) Risk Management and Governance which would cover AI Auditing techniques, AI Risk and Controls, Pre-Implementation reviews, Data Privacy reviews, AI application security and BCP review of AI Applications.
This is client-facing role in a rapidly growing practice, where you’ll build client relationships with key stakeholders, including management executives for some of the most globally recognized brands. It makes this the perfect place to gain a deeper understanding of complex businesses transactions, all the while recommending solutions to some of the most pressing business challenges and process inefficiencies.
Key Responsibilities
Consistently deliver quality client services. Drive high-quality work products within expected timeframes and on budget. Monitor progress manage risk and ensure key stakeholders are kept informed about progress and expected outcomes. Foster relationships with client personnel to analyse, evaluate, and enhance information systems to develop and improve security at procedural and technology levels. Use knowledge of the current IT environment, AI models and applications and industry trends to identify engagement and client service issues and communicate this information to the engagement team and client management through written correspondence and verbal presentations. Stay abreast of current business and industry trends relevant to the client’s business.
Skills And Attributes For Success
- Staying abreast of AI technology, regulations, and ethical trends (e.g., the EU AI Act, generative AI) and providing directional guidance and recommendations around AI governance processes, tools and solutions that fit client needs and integrate with their existing ecosystem
- Designing and implementing AI governance artefacts to govern the design, development, deployment, operation and procurement of AI systems, while upholding key responsible AI principles
- Collaborating seamlessly across technical, business, policy, legal, and risk audiences at varying levels of seniority to deliver holistic, high-quality responsible AI capabilities for clients
- Developing thought leadership and frequently speaking on responsible AI topics at internal and external events
- Understanding clients’ overall data, AI and technology landscape and business priorities and success measures
- Monitoring progress, managing risk and ensuring key stakeholders are kept informed about progress and expected outcomes
- Seeking out information to learn about emerging methodologies and technologies
- Collaborating, influencing and building consensus through constructive relationships and effective listening
To qualify for the role, you must have
- A bachelor’s or master’s degree and approximately 3-6 years of related work experience
- Minimum 3 years of professional experience in consulting or equivalent experience in industry, with at least 2 years of specific experience in AI ethics, responsible AI, or related fields, with a strong understanding of AI technologies and their ethical implications
- IT Pre-implementation and Post implementation reviews.
- Model Risk Management
- AI Compliance and regulatory assessments – Risk and Controls assessment of AI/ML applications in line with AI related regulations and frameworks
- Familiarity with regulatory frameworks and standards related to AI ethics, privacy and data protection
- Excellent written and verbal communication skills across technical and non-technical audiences
- Willingness to stay updated with industry trends and AI regulatory requirements, and quickly adapt to client demands imposed by technical and regulatory change
- Communication and critical thinking are essential – must be able to listen, understand the question and develop and deliver clear insights
- Independent and able to manage and prioritize workload
- Excellent communication, documentation and report writing skills.
- Functional understanding of foundation models (LLMs) and associated risks. Awareness of the AI deployment lifecycle
- Knowledge of Responsible AI principles, AI Ethics and AI Assurance
- Ability to identify process level risk arising from the use of AI and develop mitigation strategies.
- Good to have relevant industry certifications such as AIGP, CISA, CISM, CISSP, CRISC, CCSK, ISO 27001, and others (as relevant)
Ideally, you’ll also have one or more of the following:
- Certification, master’s degree, or PhD related to responsible AI, AI ethics, data ethics, or responsible AI preferred
- Experience in leading business or IT transformation projects that have supported data science, business intelligence, artificial intelligence, and related areas at scale
- Experience developing AI systems in either a design, business, or technical capacity
- Experience with model risk management
- Experience with Agile and/or Scrum methods of delivery
What We Look ForWe’re interested in passionate leaders with strong vision and a desire to stay on top of trends in the Responsible AI. Above all else, if you have a genuine passion and commitment to building a more responsible technology future, we will greatly welcome your application.
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