Senior Manager - AI Governance

EY; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

EY GDS Assurance Digital seeks an AI Governance Senior Manager to lead governance initiatives for Generative AI and ML across the organization. You will work with cross-functional teams to build governance controls, risk management, and monitoring processes to ensure responsible AI practices.

You will collaborate with risk, compliance, legal, and security functions to align governance with regulatory requirements, develop data quality frameworks, and drive governance metrics for leadership

Qualifications

• Bachelor's or Master's in a technical or analytics field.
• Proven experience implementing enterprise governance programs.

Responsibilities

• Lead AI governance initiatives and governance councils.
• Define governance controls for AI/ML solutions.
• Engage with stakeholders across risk, compliance, legal, and security.
• Develop dashboards and executive reporting on governance metrics.

Skills

Governance expertise

AI governance

Risk management

Model governance

Stakeholder engagement

Education

Bachelor/Master in CS/IS

Data Science degree

Tools

AI tooling

Job description

Job Summary

Position Name : EY- AI Governance Senior 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 EYs 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.

Responsibilities

• 1217 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.