New - Digital - SM

Ernst & Young Advisory Services Sdn Bhd; Hyderabad; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

EY invites applications for the EY- Assurance – Manager - Digital within EY GDS Assurance Digital to drive AI governance and data governance across regions, blending technical delivery with business development. You will work with multi-disciplinary teams to support global clients and shape privacy, security, and regulatory controls.

As the in-house senior AI governance expert, you will define governance frameworks, mentor teams, and lead responsible AI initiatives while partnering with risk,

Qualifications

• Bachelor's or master's degree in CS / IS / Data Science or analytics.
• Strong governance, risk, and regulatory knowledge.
• Experience delivering enterprise-scale governance programs.

Responsibilities

• 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.
• 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.

Skills

Stakeholder management

Executive communication

Presentation skills

Problem solving

Project management

Analytical thinking

Education

Bachelor's or Master's degree in Computer Science / Data Science / Engineering / Analytics

Tools

Microsoft Purview

Collibra

Alation

Databricks Unity Catalog

Snowflake Governance Capabilities

Power BI

ServiceNow Governance Workflows

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 – Manager - Digital

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

• 10–15 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
• Master Data Management (MDM)
• Data Cataloging
• Data Classification

AI Governance Experience

• Responsible AI Frameworks
• 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
• Internal Audit and Compliance Requirements

Governance Tools & Platforms

Experience in one or more of the following:

• Microsoft Purview
• Collibra
• Alation
• Databricks Unity Catalog
• Snowflake Governance Capabilities
• Power BI
• ServiceNow Governance Workflows

Good understanding of:

• Machine Learning Lifecycle
• 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.

Select how often (in days) to receive an alert:

EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.