GEN AI - AI Governance - SM Professional

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 Bachelors or Masters 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…