At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Creating confidence and trust in data and technology is becoming a greater societal concern with the growth of emerging technologies, such as Artificial Intelligence (AI). Understanding risks arising from the implementation and use of technology is increasingly important to accelerating business performance and achieving sustainable growth. The ability to understand these risks and bridge the knowledge gap that often exists between business and IT is the core strength of EY's Technology Risk team. Our Responsible AI professionals provide independent advice and assurance to our clients over the design and operation of their internal controls over AI, the security of their AI systems, the delivery of AI usage, their relationships with third parties, and their management, stewardship and ability to exploit business critical data.

The opportunity

EY is investing in our Responsible AI practice. We are seeking a Manager to join our Technology Risk – Responsible AI team to help our clients in evaluating the sufficiency of their AI governance, risk management and control practices related to AI model development, testing and deployment to maximize efficiencies and minimize risk. You will manage engagement teams and directly assist clients in navigating through AI governance and managing AI risks related to model development, testing, deployment to maximize efficiencies and minimize risk. You will have the opportunity to lead, stay abreast of AI technology trends, expand your knowledge on risk management and AI regulations while developing your skillset to keep up with the ever-growing demands on AI capabilities. This is a high growth area with plenty of opportunity to enhance your skillset and build your career.

Your key responsibilities:

As a Responsible AI Manager, you will supervise team members and work with a variety of clients to assess and evaluate their AI governance, risk management and control frameworks. Specific responsibilities include:

• Conduct independent evaluations of the sufficiency of clients' internal policies, procedures and practices against EY's Responsible AI framework, industry guidelines and regulatory requirements.
• Oversee execution of audit procedures of AI systems in support of financial statement audits, service organization control reports and internal audits.
• Internal Controls Attestations – Providing an opinion on management's assertion over business processes and controls, including controls over AI systems.
• AI Governance – Assess clients' AI governance, strategy, model operations, and regulation compliance.
• Lead and support on-site coordination roles for clients, including planning, briefing teams on the client's AI environment and industry AI trends, coaching, and mentoring staff, communicating with clients, and completing assessment or audit engagements.
• Prepare AI-related reports on the adequacy and effectiveness of control structures, along with practical recommendations to improve effectiveness and efficiency.
• Leverage understanding of AI technology and responsible AI trends to develop practical recommendations to improve the effectiveness and efficiency of a control or process.
• Discuss and resolve issues and recommendations with client management.
  

Additional Responsibilities:

• Prepare go-to-market materials for Responsible AI services for both internal and external use.
• Lead and support teams including delivering virtual and classroom-based AI-related audit training.
• Maintain relationships with client management to manage expectations of service, including work products, timing, and value delivered.
• Maintain long-term client relationships and networks and cultivate business development opportunities.

Skills and attributes for success:

• Experience with responsible AI practices, risk governance, control frameworks and principles.
• Understanding of types of AI models and AI lifecycle stages.
• Staying abreast of AI technology trends and provide directional guidance and recommendations around responsible AI practices and principles.
• Applying combined business and technical knowledge to develop and execute assessments and evaluations of AI governance, risk management and control frameworks.
• Collaborating with Data Scientists, Data Engineers, Cloud Engineers, MLOps Engineers, and DevOps to incorporate responsible AI practices into the client's AI program.
• Collaborating with clients to understand their business objectives and develop tailored responsible AI strategies aligned with their values and regulatory obligations.
• Providing advice in the design and implementation of ethical frameworks, guidelines, and policies to govern the development and deployment of AI systems, ensuring fairness, transparency, reliability, security and accountability.
• Provide high quality professional day-to-day management of internal/external engagements/projects and understand EY's practices and broader service offerings and identify potential opportunities to improve such service offerings.
• Maintain relationships with client management to manage expectations of service, including work products, timing, and the value to be delivered.Highly professional with the ability to work in challenging, diverse, and evolving client environments.
• Flexible with the ability to learn quickly and leverage skills in new situations.
• Seeking out information to learn about emerging responsible AI methodologies and AI technologies.
• Looking for opportunities for improving methods and outcomes.
• Excellent verbal and written communication skills.
• Ability to build strong client relationships.
• Strong team-working skills are essential.
• Strong presentation and facilitation skills.
• Passion to contribute to the growth of the practice.
• Strong experience interacting with clients at all levels, including staff, leadership, and partners.
• Ability to coach and mentor junior staff on engagements.

To qualify for the role, you must have:

• A minimum of 5 years of direct operational risk experience or technical knowledge of AI-related assessments or audits
• Relevant professional designation, such as CPA, CISA, CIA, CISSP, CISM, or eligibility to obtain a relevant designation.
• Practical knowledge in any of the following areas: AI technologies, AI ethics, AI governance, Responsible AI principles, AI lifecycles, and/or AI risks and controls.
• Ability to stay updated with industry trends and AI regulatory requirements, and quickly adapt to new technologies.
• Experience leveraging analytic tools, including the collection and preparation of data and evaluating data quality.
• Independent and able to manage and prioritize workload.
• Ability to adapt quickly and positively to change.
• Comprehensive knowledge of internal auditing standards and techniques.
• Strong analytical, interpersonal, and communication skills.
• Demonstrated consistency in values, principles, and work ethic.
• Proficiency using MS Office Suite, including Excel, Word, OneNote, and PowerPoint.
• Ability to obtain Government of Canada Secret clearance.
• Willingness to travel.

Ideally, you'll also have

• Certification in relevant areas such as AI ethics, data ethics and responsible AI, such as AI Ethics Certification, Microsoft Certified: Azure AI Engineer Associate, Google Professional Machine Learning Engineer, or International Association of Privacy Professionals' AI Governance Professional designation.
• Understanding of python, R+, and model design.
• Data governance and/or data security protection experience.
• Experience with evaluating compliance with regulations and incorporating new AI regulations and laws within engagements, specifically the Digital Services Act (DSA), European Union AI Act, and US AI guidelines/laws.
• Familiarity with the National Institute of Standards and Technology AI Risk Management Framework and the ISO/IEC 42001 standard.
  

What we look for

We're interested in passionate professionals with a desire to deeply understand the trends at the intersection of business, AI and data, risk management, compliance and regulations. We want a customer-focused individual who is motivated to act as an ambassador for the Responsible AI team to exceed our clients' high expectations. We're interested in highly motivated talented individuals with a strong willingness to think outside of the box. You can expect plenty of autonomy in this role, so you'll need the motivation to take initiative and seek out opportunities to improve our current relationships and expand our business in the evolving market. If you're serious about shaping the future with confidence and ready to take on some of our clients' most complex issues, this role is for you.

What we offer

At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients, and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

We offer a competitive compensation package where you'll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you to decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes comprehensive medical, prescription drug, and dental coverage, a defined contribution pension plan, a great vacation policy plus firm-paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays, and paid personal days (based on the province of residence), and a range of exciting programs and benefits designed to support your physical, financial, and social well-being. Plus, we offer:

• Support and coaching from some of the most engaging colleagues in the industry.
• Learning opportunities to develop new skills and progress your career.
• The freedom and flexibility to handle your role in a way that's right for you.

Diversity and Inclusion at EY

Diversity and inclusiveness are at the heart of who we are and how we work. We're committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. We embrace diversity and are committed to combating systemic racism, advancing gender equity and women in leadership, advocating for the 2SLGBTQIA+ community, promoting our neuroinclusion and accessibility initiatives, and are dedicated to amplifying the voices of Indigenous peoples (First Nations, Inuit, and Métis) nationally as we strive towards reconciliation. Our diverse experiences, abilities, backgrounds, and perspectives make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.