Join EY and embark on a career journey as unique as you are. Leverage global scale, inclusive culture, and cutting-edge technology to achieve your full potential. Your distinct perspective is invaluable in helping EY shape a better working world. As a Manager in the Technology Risk Team, you will spearhead the creation and execution of enterprise-wide data governance strategies, frameworks, and controls. Your focus will be on ensuring data quality, integrity, security, and compliance. This role involves defining governance roadmaps, establishing clear data ownership, and overseeing critical initiatives in areas like Data Quality, Metadata Management, Data Lineage, Data Catalog, and Master Data Management (MDM).

We are seeking professionals with a minimum of 8 years of experience, a solid grasp of technology and data, and a demonstrated track record of successful project delivery. This presents an excellent opportunity to join a premier firm and significantly contribute to a burgeoning service offering within the expanding Technology Risk team.

Lead client-facing engagements and collaborate with internal audit, IT security, and business stakeholders to assess control effectiveness and guide remediation efforts. Design robust IT risk control frameworks, including IT SOX, and conduct thorough testing of internal controls such as IT general controls, application controls, IPE, and interface controls. Spearhead data governance engagements, effectively managing scope, resources, timelines, priorities, and risks across business, audit, security, and compliance teams. Drive the design, implementation, and continuous enhancement of data governance strategies, policies, standards, controls, and operating models, including governance councils, decision rights, and Data Ownership and Stewardship. Oversee audit and assurance activities across key data governance domains, ensuring alignment with governance standards and regulatory requirements. Conduct data governance and management maturity assessments, identify capability gaps, and develop actionable roadmaps. Integrate data governance into enterprise IT risk and control frameworks, reviewing testing, findings, and risk-based remediation. Lead Master and Reference Data Management initiatives, establishing authoritative sources and maintaining trusted golden records. Establish governance KPIs, KRIs, and dashboards to monitor compliance and communicate data quality trends and remediation progress to senior stakeholders.

A minimum of 8 years of experience in Data Governance, Data Quality, Data Management, or related fields, with proven ownership of enterprise governance initiatives and client-facing engagements. Possess a strong understanding of Data Governance and Data Management frameworks, including strategy, policies, operating models, Data Ownership, Stewardship, and regulatory requirements. Demonstrated experience leading data quality controls, profiling, validation, root cause analysis, and risk-based remediation, with exposure to data quality tools and modern data architectures like Data Mesh and Data Fabric. Expertise in metadata management, data lineage, business glossaries, data catalogs, and MDM, including successful adoption across business domains. Proficiency in SQL and experience with Python or PySpark for automation. Familiarity with AI and cloud data platforms such as Microsoft Fabric, Databricks, Azure Data Lake, or Snowflake. Experience guiding the evaluation and adoption of governance tools like Microsoft Purview, Informatica IDMC, Collibra, or Alation. Proficiency with delivery planning and documentation tools such as Azure DevOps, Confluence, or SharePoint. Proven ability to lead governance maturity assessments and develop detailed roadmaps with measurable outcomes. Experience managing client engagements, including scope, resource planning, budgets, risks, and deliverable quality, with effective issue escalation. Demonstrated ability to support senior stakeholders, facilitate governance forums, resolve cross-functional priorities, and lead change management initiatives. Experience developing governance KPIs, dashboards, and executive reporting to measure data quality, governance maturity, and compliance effectiveness.