Join EY and embark on a career journey as unique as you are. Leverage global scale, supportive culture, and advanced technology to become your best self. Your distinctive perspective is vital in helping EY excel and create a better working world for everyone. This role focuses on enhancing data governance capabilities to ensure data quality, integrity, security, and compliance. You will be instrumental in guiding clients through evolving technological landscapes with robust governance frameworks and risk management practices.

We are seeking experienced professionals to collaborate with cross-functional teams, resolve issues, and deliver exceptional client support. This is a prime opportunity to contribute to a growing service offering within a leading firm.

Design and implement enterprise data governance frameworks, policies, and controls for trusted, secure, and compliant data. Lead initiatives in Data Quality, Metadata Management, Data Lineage, Data Catalog, and Master Data Management (MDM). Establish data quality rules, monitoring, and remediation processes to enhance data accuracy and reliability. Conduct data profiling, root cause analysis, and governance assessments to resolve data issues. Maintain business glossaries, metadata repositories, and data catalogs for improved data discoverability. Implement governance controls across the data lifecycle, ensuring compliance with privacy, security, and regulatory requirements.

Collaborate with business stakeholders, data stewards, architects, and engineering teams to drive governance adoption. Utilize platforms like Microsoft Fabric, Databricks, Azure Data Lake, Purview, Informatica, and Collibra. Support audit, risk, and compliance activities through governance reviews and control validation. Apply strong analytical and problem-solving skills to implement scalable and sustainable solutions.

Requires a minimum of 4 years of experience in Data Governance, Data Quality, Metadata Management, Data Management, or Data Engineering. Must possess a strong understanding of Data Governance principles, frameworks, and best practices. Experience in implementing Data Quality controls, monitoring, and remediation processes is essential. Expertise in metadata management, data lineage, business glossary, data catalog, and MDM concepts is required.

Proficiency in SQL and experience with Python or PySpark for automation. Familiarity with cloud data platforms (Microsoft Fabric, Databricks, Azure Data Lake, Snowflake) and Data Governance tools (Microsoft Purview, Informatica IDMC, Collibra). Understanding of data privacy, security, regulatory compliance, and information management controls. Experience with governance and collaboration tools (Jira, Azure DevOps, Confluence).

A Bachelor's Degree or higher in Computer Science, Information Systems, Data Science, Information Management, or Engineering is ideal. Strong analytical, problem-solving, communication, and stakeholder management skills are crucial. A self-driven and proactive professional capable of thriving in fast-paced environments is essential.