Join EY and shape a career as unique as you are. We offer global scale, inclusive culture, and technology to help you excel. Contribute your unique perspective to make EY and the working world even better.

As a Technology Risk Manager focusing on Data Governance within EY GDS Assurance, you will spearhead the design and implementation of comprehensive enterprise data governance strategies. This includes establishing robust frameworks, controls, and operating models to ensure data quality, integrity, security, and compliance. You will develop governance roadmaps, define clear data ownership and stewardship responsibilities, and lead initiatives across Data Quality, Metadata Management, Data Lineage, Data Catalog, and Master Data Management (MDM).

This role is a significant opportunity to join a leading firm and influence the growth of a new service offering within the Technology Risk team. We are seeking professionals with at least 8 years of experience, a deep understanding of technology and data, and proven delivery capabilities.

Lead client-facing engagements and collaborate with internal audit, IT security, and business stakeholders to assess control effectiveness and drive remediation. Design and implement IT Risk Control frameworks, such as IT SOX, and conduct testing of various internal controls, including IT general, application, IPE, and interface controls. Oversee Data Governance activities across Data Catalog, Lineage, Classification, Data Quality, Models, Registers, and Remediation, ensuring alignment with governance standards and regulatory requirements. Conduct Data Governance and Data Management maturity assessments, identify capability gaps, and develop prioritized roadmaps for areas like Metadata, Data Lineage, Data Catalog, MDM, and governance adoption. Integrate data governance into enterprise IT risk and control frameworks, reviewing testing, findings, and remediation efforts. Lead Master and Reference Data Management initiatives, including defining master data domains, identifying authoritative sources, and establishing trusted golden records. Establish governance KPIs, KRIs, dashboards, and compliance monitoring, reporting data quality trends, risks, and governance maturity to senior stakeholders. Define data quality standards and oversee monitoring through KPIs and executive dashboards. Manage business glossaries, metadata repositories, catalogs, and end-to-end lineage with established approval and maintenance processes. Work with the Chief Data Office (CDO) to implement global data governance guidelines regionally. Guide the evaluation and adoption of governance capabilities across various platforms, aligning tool selection with business needs.

Requires 8+ years of experience in Data Governance, Data Quality, Data Management, or Data Engineering, with a track record of owning enterprise governance initiatives and client-facing engagements. Possess strong knowledge of Data Governance and Data Management frameworks, policies, operating models, Data Ownership, Stewardship, governance councils, decision rights, controls, and regulatory requirements. Demonstrate experience in leading data quality controls, profiling, validation, root cause analysis, and risk-based remediation, with preferred exposure to data quality tools and knowledge of Data Mesh and Data Fabric architectures. Exhibit expertise in metadata management, data lineage, business glossaries, data catalogs, and MDM, including adoption across business domains. Proficiency in SQL and experience with Python or PySpark for automation is essential. Familiarity with AI and cloud data platforms such as Microsoft Fabric, Databricks, Azure Data Lake, or Snowflake is expected. Experience guiding governance tool evaluation and adoption using platforms like Microsoft Purview, Informatica IDMC, or Collibra is required. Proficiency in using Azure DevOps, Confluence, or SharePoint for delivery planning and documentation is necessary. Proven ability to manage client engagements, including scope, resource planning, delivery timelines, budgets, and risks, with timely escalation of issues. Demonstrated capacity to support senior business and technology stakeholders, facilitate governance forums, resolve cross-functional priorities, and lead change management and data literacy initiatives. Experience developing governance KPIs, dashboards, scorecards, and executive reporting to measure data quality, governance maturity, and compliance effectiveness.