Tech Risk Senior

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 Senior

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 Senior - Data Governance

As a Senior Data Governance Engineer, you will design and implement enterprise data governance frameworks, controls, and processes to ensure data quality, integrity, security, and compliance. You will lead initiatives across Data Quality, Metadata Management, Data Lineage, Data Catalog, and MDM, while collaborating with business and technology teams to strengthen data governance capabilities and support regulatory requirements.

In line with EY commitment to quality, you’ll confirm that work is of high quality and is reviewed by the next-level reviewer. As a member of the team, you’ll help to create a positive learning culture and assist fellow team members while delivering an assignment. You will help clients navigate the rapidly evolving landscape technologies by establishing robust governance frameworks, risk management practices, and compliance controls.

The opportunity

We’re looking for professionals who have at least 4 years or more of experience. You will collaborate closely with cross functional teams to address issues, to deliver seamless support to clients. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering.

Skills and Summary of Accountabilities

• Exposure working in client facing roles, collaborate with cross functional teams including 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.
• Design and implement enterprise Data Governance frameworks, policies, standards, and controls to ensure trusted, secure, and compliant data across business domains.
• Lead Data Governance initiatives covering Data Quality, Metadata Management, Data Lineage, Data Catalog, and Master Data Management (MDM).
• Establish data quality rules, monitoring processes, validation frameworks, and remediation activities to improve data accuracy, consistency, and reliability.
• Perform data profiling, reconciliation, root cause analysis, and governance assessments to identify and resolve data issues.
• Maintain business glossaries, metadata repositories, data catalogs, and lineage documentation to improve data discoverability and transparency.
• Implement governance controls across the data lifecycle, ensuring compliance with data privacy, security, and regulatory requirements.
• Collaborate with business stakeholders, data stewards, data owners, architects, analysts, and engineering teams to drive governance adoption and improve data management practices.
• Leverage platforms such as Microsoft Fabric, Databricks, Azure Data Lake, Microsoft Purview, Informatica IDMC, and Collibra to support governance and data quality initiatives.
• Support audit, risk, and compliance activities through governance reviews, control validation, and evidence management.
• Demonstrate strong analytical thinking and problem-solving skills to identify governance challenges and implement scalable, sustainable solutions.

To qualify for the role, you must have

• 4+ years of experience in Data Governance, Data Quality, Metadata Management, Data Management, or Data Engineering.
• Strong understanding of Data Governance principles, frameworks, and best practices.
• Experience implementing Data Quality controls, monitoring, and remediation processes.
• Expertise in metadata management, data lineage, business glossary, data catalog, and MDM concepts and governance principles.
• Experience with data profiling, validation, reconciliation, and root cause analysis.
• Familiarity with cloud and data platforms such as Microsoft Fabric, Databricks, Synapse Analytics, Azure Data Lake, or Snowflake.
• Familiarity with Data Governance tools such as Microsoft Purview, Informatica IDMC, Collibra, Alation, or similar platforms.
• Proficiency in SQL and experience with Python or PySpark for governance and data quality automation.
• Understanding of data privacy, security, regulatory compliance, and information management controls.
• Experience with governance and collaboration tools such as Jira, Azure DevOps, Confluence, and SharePoint.
• Strong understanding of data lifecycle management and data stewardship practices.
• Good to have experience with Data Quality tools and knowledge of Data Mesh and Data Fabric architectures.
• Experience on Drive governance maturity assessments and roadmap development to continuously improve organizational data governance capabilities.
• Experience on developing governance KPIs, dashboards, scorecards, and executive reporting to measure data quality, governance maturity, and compliance effectiveness.

Ideally, You'll Also Have

Bachelor's Degree or above in Computer Science, Information Systems, Data Science, Information Management, Engineering, or related disciplines.

Relevant certifications are considered a plus

• Excellent analytical and problem-solving skills.
• Strong communication and stakeholder management abilities.
• Self-driven and proactive professional capable of working in fast-paced enterprise environments.
• Ability to collaborate effectively with business, technology, compliance, and governance teams.
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