Position Name

EY- Assurance - Senior Manager - Digital

Role Overview

As part of EY GDS Assurance Digital, you will be responsible for implementing creative 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.

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

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 GEN AI - Digital - SM professional (Hyderabad)
🏢 EY
📍 Hyderabad