Tech Risk Manager

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Job Description for Data Governance Manager

Job description

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Technology Risk Manager - Data Governance

As part of EY GDS Assurance - Technology Risk Team, as Manager, you will lead the design and implementation of enterprise data governance strategies, frameworks, controls, and operating models to ensure data quality, integrity, security, and compliance. You will define governance roadmaps, establish data ownership and stewardship responsibilities, and oversee initiatives across Data Quality, Metadata Management, Data Lineage, Data Catalog, and Master Data Management (MDM). In line with EY’s commitment to quality, you will ensure deliverables meet quality standards and receive appropriate next-level review. You will coach and mentor team members, foster a positive learning culture, and build data governance capabilities across the team. You will help clients navigate the rapidly evolving technology landscape by establishing robust governance frameworks, risk management practices, and compliance controls.

The opportunity:

We’re looking for professionals with at least 8+ years of experience, a strong understanding of technology and data, and proven delivery capabilities. This is a fantastic opportunity to join a leading firm and be instrumental in the growth of a new service offering, as well as be part of the growing Technology Risk team.

Skills and Summary of Accountabilities:

• Lead client-facing engagements and cross-functional collaboration with internal audits, IT security and business stakeholders to assess control effectiveness and facilitate remediation activities.
• Preferred knowledge/understanding of experience in IT Controls, Risk and Compliance.
• Design IT Risk Controls framework such as IT SOX.
• Testing of internal controls such as IT general controls, IT application controls, IPE related controls, interface controls etc.
• Lead client-facing data governance engagements, managing scope, resources, timelines, priorities, and risks across business, audit, security, and compliance teams
• Lead the design, implementation, and continuous improvement of Data Governance strategies, frameworks, policies, standards, controls, and operating models, including governance councils, decision rights, Data Ownership and Data Stewardship.
• Lead and oversee audit and assurance activities across key Data Governance areas, including Data Catalogue, Lineage and Classification; Data Quality; Models and Registers; and Remediation, ensuring alignment with governance standards, controls, and regulatory requirements.
• Conduct Data Governance and Data Management maturity assessments, identify capability gaps, and develop prioritised roadmaps covering Data Quality, Metadata, Data Lineage, Data Catalog, Master Data Management (MDM), and governance adoption.
• Integrate data governance into enterprise IT risk and control frameworks, including IT SOX where applicable; review testing, findings, and risk-based remediation for IT general, application, IPE, and interface controls.
• Lead enterprise data governance strategy, policies, standards, and operating models; establish governance councils, decision rights, ownership, and stewardship.
• Lead Master and Reference Data Management initiatives, including identification of master data domains and attributes, authoritative sources, match-and-merge and survivorship rules, and creation and maintenance of trusted golden records.
• Establish governance KPIs, KRIs, dashboards, and compliance monitoring, oversee governance reviews, control validation and audit readiness, and communicate Data Quality trends, risks, remediation progress, and governance maturity to senior stakeholders.
• Define data quality standards, CDE’s validation rules, and thresholds; oversee monitoring and report trends through KPIs and executive dashboards.
• Oversee business glossaries, metadata repositories, catalogs, and end-to-end lineage, with approval and maintenance processes that support consistent definitions, traceability, discoverability, and adoption.
• Work closely with the Chief Data Office (CDO) to implement global data governance guidelines at the regional level, ensuring consistency with firm-wide standards and controls.
• Guide the evaluation, implementation, and adoption of governance capabilities across platforms such as Microsoft Fabric, Databricks, Azure Data Lake, Microsoft Purview, Informatica IDMC, and Collibra, aligning tool selection and automation with business requirements and governance objectives.

To qualify for the role, you must have:

• 8+ years of experience in Data Governance, Data Quality, Data Management, Data Engineering, or related disciplines, including ownership of enterprise governance initiatives and client-facing engagements.
• Strong knowledge of Data Governance and Data Management frameworks, including Data Strategy, policies, operating models, Data Ownership, Stewardship, governance councils, decision rights, controls, and regulatory requirements.
• Experience leading data quality controls, profiling, validation, reconciliation, root cause analysis, and risk-based remediation, preferably with exposure to data quality tools and knowledge of Data Mesh and Data Fabric architectures.
• 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 governance and data quality automation. Familiarity with AI and cloud data platforms such as Microsoft Fabric, Databricks, Synapse Analytics, Azure Data Lake, or Snowflake.
• Experience guiding governance tool evaluation and adoption, using Microsoft Purview, Informatica IDMC, Collibra, Alation, or similar platforms.
• Experience using Azure DevOps, Confluence, or SharePoint for delivery planning, documentation, and remediation tracking.
• Experience leading governance maturity assessments and developing prioritised roadmaps with clear milestones, dependencies, and measurable outcomes to improve organisational data governance capabilities.
• Proven experience managing client engagements, including scope, resource planning, delivery timelines, budgets, risks, and deliverable quality, with timely escalation of issues and dependencies.
• Demonstrated ability 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 and communicate risks and remediation priorities to senior stakeholders.

Ideally, You'll Also Have:

• A bachelor’s degree or higher in Computer Science, Information Systems, Data Science, Information Management, Engineering, or a related discipline. A master’s degree would be an added advantage.
• Relevant certifications, such as CDMP, ISO 8000 (Master Data Quality Management), or Microsoft Purview, would be an added advantage.
• Excellent communication and stakeholder management skills to influence leaders and align business and technology on governance priorities and risks.

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