About the role
structured by ORIAt 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.
What you will do
- 12–17 years AI Governance initiatives, including Responsible AI model governance, explainability, transparency, fairness, accountability, and monitoring.
- Define governance controls for Generative AI, Agentic AI, Machine Learning, and Advanced Analytics solutions.
- Engage with business stakeholders, technology teams, risk, compliance, legal, and security functions to establish governance requirements for data and AI initiatives.
- Design and implement data quality frameworks, controls, scorecards, and remediation processes.
- Work closely with data, analytics, and AI teams to ensure compliance with internal policies and regulatory requirements.
What they are looking for
- 12–17 years AI Governance initiatives, including Responsible AI model governance, explainability, transparency, fairness, accountability, and monitoring.
- Define governance controls for Generative AI, Agentic AI, Machine Learning, and Advanced Analytics solutions.
- Engage with business stakeholders, technology teams, risk, compliance, legal, and security functions to establish governance requirements for data and AI initiatives.
- Design and implement data quality frameworks, controls, scorecards, and remediation processes.
- Work closely with data, analytics, and AI teams to ensure compliance with internal policies and regulatory requirements.
- Conduct governance maturity assessments and define roadmaps for continuous improvement.
- Support audit, risk, and regulatory compliance activities related to data and AI systems.
- Develop governance metrics, dashboards, and executive reporting for leadership teams.
- Lead governance councils, working groups, and stakeholder forums.Build and mentor high-performing governance teams while driving adoption of governance best practices across the organization.
- Excellent academic background, including at minimum a Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, Engineering, Business Analytics, Statistics, Risk Management, or a related discipline.
- Proven experience implementing enterprise-wide governance programs and operating models.
Benefits
- Support, coaching, and feedback from some of the most engaging colleagues around.
- Opportunities to develop new skills and advance your career.
- Exposure to global clients and enterprise-scale transformation initiatives.
- The freedom and flexibility to manage your role in a way that's right for you.
Full posting text
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. Position Name : EY- AI Governance – Senior Manager - Digital Position Details As part of EY GDS Assurance Digital, you will be responsible for implementing innovative ideas through AI research to develop high growth & impactful products. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. You will work with multi-disciplinary teams across the entire region to support global clients. This is a combination of a technical role and a business development role in AI, responsible for creating innovative solutions by applying AI based techniques for business problems. As our in-house senior AI engineer, your expertise and skills will be vital in our ability to steer one of our Innovation agenda. Requirements (including experience, skills, and additional qualifications) Responsibilities 12–17 years AI Governance initiatives, including Responsible AI model governance, explainability, transparency, fairness, accountability, and monitoring. Define governance controls for Generative AI, Agentic AI, Machine Learning, and Advanced Analytics solutions. Engage with business stakeholders, technology teams, risk, compliance, legal, and security functions to establish governance requirements for data and AI initiatives. Design and implement data quality frameworks, controls, scorecards, and remediation processes. Work closely with data, analytics, and AI teams to ensure compliance with internal policies and regulatory requirements. Conduct governance maturity assessments and define roadmaps for continuous improvement. Support audit, risk, and regulatory compliance activities related to data and AI systems. Develop governance metrics, dashboards, and executive reporting for leadership teams. Lead governance councils, working groups, and stakeholder forums.Build and mentor high-performing governance teams while driving adoption of governance best practices across the organization. Key Requirements / Skills & Qualifications Excellent academic background, including at minimum a Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, Engineering, Business Analytics, Statistics, Risk Management, or a related discipline. Proven experience implementing enterprise-wide governance programs and operating models. AI Governance Experience Responsible AI Frameworks AI Risk Management Model Governance Regulatory and Compliance Knowledge DPDPA Model Risk Management Frameworks Internal Audit and Compliance Requirements AI & Analytics Awareness Good understanding of: Machine Learning Lifecycle Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) AI Agents and Agentic Workflows OpenAI and Azure OpenAI Services Model Evaluation and Monitoring AI Security and Governance Controls What We Look For A team player with strong business acumen, governance expertise, and passion for emerging technologies. Strong understanding of data as an enterprise asset and AI as a strategic business capability. Ability to balance innovation with governance, risk management, and regulatory compliance. Experience working with global stakeholders across business and technology functions. Passion for driving trusted, responsible, and compliant use of data and AI across the organization. What Working at EY Offers At EY, we're dedicated to helping our clients transform their businesses through trusted data, advanced analytics, and responsible AI. You will work on strategic initiatives that enable organizations to unlock business value while maintaining strong governance, risk management, and compliance practices. Plus, we offer: Support, coaching, and feedback from some of the most engaging colleagues around. Opportunities to develop new skills and advance your career. Exposure to global clients and enterprise-scale transformation initiatives. The freedom and flexibility to manage your role in a way that's right for you. 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.