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Full-time
bachelor degree, postgraduate degree
Coaching, Career development opportunities, Global client exposure, Flexible work environment
Posted 13d ago
Apply by Aug 15
~40 hrs/week
Responsibilities
You will define and implement enterprise-wide Data and AI governance frameworks while collaborating with cross-functional teams to ensure compliance and quality. Additionally, you will lead governance initiatives for Generative AI and advanced analytics to drive business value and mitigate risks.
Requirements
Candidates must have 12–17 years of experience in data or AI governance and a strong academic background in a relevant field. Proficiency in governance tools and a deep understanding of regulatory requirements and AI ethics are essential for this role.
Full job description
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- Assurance – 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 of experience in Data Governance, AI Governance, Data Management, Risk Management, or related disciplines.
Define and implement enterprise-wide Data Governance and AI Governance frameworks, policies, standards, and operating models.
Engage with business stakeholders, technology teams, risk, compliance, legal, and security functions to establish governance requirements for data and AI initiatives.
Drive governance programs across Data Quality, Metadata Management, Data Lineage, Master Data Management, Data Security, and Data Privacy.
Lead Responsible AI and AI Governance initiatives, including model governance, explainability, transparency, fairness, accountability, and monitoring.
Define governance controls for Generative AI, Agentic AI, Machine Learning, and Advanced Analytics solutions.
Establish data ownership, stewardship, and accountability models across business functions.
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.
Support business development activities, governance assessments, RFP responses, proposals, and client presentations.
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.
Strong understanding of Data Governance frameworks, industry standards, and leading practices.
Proven experience implementing enterprise-wide governance programs and operating models.
Core Governance Experience
Data Governance Framework Design
Data Ownership and Stewardship Models
Data Quality Management
Metadata Management
Business Glossary Development
Data Lineage
Master Data Management (MDM)
Data Cataloging
Data Classification
AI Governance Experience
Responsible AI Frameworks
AI Risk Management
Model Governance
Explainability and Traceability
Bias Detection and Fairness Assessment
AI Monitoring and Observability
Human-in-the-Loop Controls
AI Compliance and Regulatory Readiness
Governance for Generative AI and Agentic AI Systems
Regulatory and Compliance Knowledge
GDPR
CCPA
DPDPA
BCBS239
Data Privacy Regulations
Information Security Controls
Model Risk Management Frameworks
Internal Audit and Compliance Requirements
Governance Tools & Platforms
Experience in one or more of the following:
Microsoft Purview
Collibra
Informatica Axon
Informatica EDC
Alation
Databricks Unity Catalog
Snowflake Governance Capabilities
Azure Data Platform
Power BI
ServiceNow Governance Workflows
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
Additional Skills Requirements
Excellent written, oral, presentation, and facilitation skills.
Strong stakeholder management and executive communication capabilities.
Ability to drive multiple governance initiatives simultaneously through effective prioritization and planning.
Proven program and project management experience.
Strong analytical and problem-solving skills.
Ability to interpret regulatory requirements and translate them into actionable governance controls.
Strong collaboration skills with business, risk, compliance, security, and technology teams.
Ability to influence senior leadership and drive organizational change.
Proactive, organized, and self-sufficient with strong attention to detail.
Ability to build governance culture and adoption across large organizations.
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.
Related keywords
Data GovernanceAI GovernanceGenerative AIAgentic AIMachine LearningData QualityMetadata ManagementData LineageMaster Data ManagementResponsible AIGDPRCCPAMicrosoft PurviewCollibraInformaticaDatabricks
EY is building a better working world by creating new value for clients, people, society, the planet, while building trust in the capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams in more than 150 countries work across a full spectrum of services in assurance, consulting, tax, strategy and transactions, strengthened by sector experience and diverse ecosystem partners.
Find out more about the EY global network: http://ey.com/en_gl/legal-statement
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