Join EY and build a career defined by your unique talents. Leverage global scale, supportive culture, and cutting-edge technology to achieve your full potential. We seek your distinct perspective to enhance EY's excellence. This role focuses on Data and Analytics within EY's Consulting Services, a unit dedicated to providing integrated solutions for financial institutions and capital markets. The Data and Analytics team tackles complex challenges, capitalizing on opportunities to drive better business outcomes and safeguard client futures. We empower clients by embedding robust analytical practices at the core of their decision-making processes, creating a compelling business case for data-driven strategies.

Drive the end-to-end implementation and configuration of the Collibra Data Intelligence Platform. This includes designing operating models, establishing communities, domains, asset types, relations, and complex attributes. Develop Collibra workflows using BPMN and Groovy for processes like data steward approvals and issue management. Configure and manage core Collibra modules such as the Data Catalog, Business Glossary, Reference Data, and Policy Management. Implement technical and business lineage through tools like Collibra Lineage Harvester and Edge. Integrate Collibra with enterprise systems and BI tools via REST APIs and connectors. Define and operationalize data governance frameworks, including roles, stewardship models, and data ownership. Automate metadata ingestion and establish data quality rules, KPIs, and dashboards, supporting issue remediation. Administer the platform, manage user access, and handle environment promotions. Conduct workshops and training sessions to foster platform adoption. Produce essential documentation and provide strategic advisory on governance roadmaps and best practices to senior stakeholders.

A minimum of 8 years of experience in data management, data governance, or enterprise data platforms is essential. Demonstrable, hands-on expertise in designing and configuring the Collibra Data Intelligence Platform across multiple implementations is required. A strong understanding of the Collibra operating model, including asset types, domains, communities, attributes, relations, hierarchies, and validation rules, is crucial. Practical experience in building and troubleshooting Collibra workflows with BPMN and Groovy scripting is necessary. Familiarity with Collibra Catalog, Business Glossary, Data Lineage, Data Helpdesk, and Policy Manager is expected. Working knowledge of Collibra Edge, Lineage Harvester, and connector-based metadata ingestion is needed. Solid experience using the Collibra REST API for automation and system integration is a must. Proficiency in SQL and a good grasp of data modeling, metadata management, and data architecture concepts are required. Familiarity with data governance frameworks, data privacy regulations (GDPR, BCBS 239, CCPA), and Linux skills for on-premise server management are also necessary. Excellent stakeholder management, facilitation, and written communication skills are vital for collaborating with both technical and business leadership. A Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field is required. Collibra Ranger or Collibra Expert certification is strongly preferred.