Enterprise Data and AI Governance Associate

Your Primary Responsibilities:

• Assist with the implementation of enterprise Data Governance policies, standards, and procedures within assigned business areas. 

• Support the collection, documentation, validation, and maintenance of business metadata, technical metadata, and data lineage information. 

• Support onboarding of data domains, systems, reports, and critical data elements into governance processes and repositories. 

• Maintain governance documentation, inventories, governance artifacts, and records to ensure information remains accurate and current. 

• Support governance reporting activities through data gathering, dashboard updates, metric tracking, KPI reporting, and presentation preparation. 

• Partner with business and technology teams to gather requirements and document business needs for governance initiatives and technology solutions, including support for translating requirements into user stories. 

• Assist in identifying and documenting data quality issues, governance gaps, risks, and remediation activities. 

• Support Risk and Control Self-Assessment (RCSA) activities, governance assessments, control documentation, and remediation tracking efforts for assigned business areas. 

• Participate in meetings, workshops, and working sessions to support governance initiatives and stakeholder engagement. 

NOTE: The Primary Responsibilities of this role are not limited to the details above.

Qualifications:

• Minimum of 4 years of related experience
• Bachelor's degree (preferred) or equivalent experience

• 4+ years of experience in data governance, data management, business analysis, risk management, or related disciplines. 
• Working knowledge of data governance concepts including Data Stewardship, Critical Data Elements (CDEs), metadata management, data lineage, data quality management, and governance controls. 
• Experience working with governance and metadata management tools such as Collibra, Ataccama, or similar platforms. 
• Familiarity with AI data lifecycle and dataset governance practices. 
• Familiarity with dataset provenance and lineage, including traceability of data sources, transformations, authorized uses, and dependencies across AI development and production processes. 
• Familiarity with AI-specific data quality concepts and AI risk and control frameworks. 
• Ability to gather, document, and organize business and technical information accurately and efficiently. 
• Experience gathering and documenting business requirements and supporting implementation of business and technology solutions. 
• Familiarity with risk management concepts, governance assessments, RCSA processes, or control environments is preferred. 
• Strong attention to detail and commitment to maintaining high-quality governance documentation and data artifacts. 
• Strong written and verbal communication skills with the ability to collaborate effectively with both business and technology stakeholders. 
• Ability to analyze information, identify issues, assess potential impacts, and escalate concerns appropriately. 
• Effective organizational and time-management skills with the ability to manage multiple assignments and deliver high-quality work in a fast-paced environment. 
• Proficiency with Microsoft Excel, PowerPoint, Word, and SharePoint. 
• Demonstrated willingness to learn new concepts, technologies, and governance practices in a rapidly evolving environment. 
   

DTCC proudly supports Flexible Work Arrangements favoring openness and gives people freedom to do their jobs well, by encouraging diverse opinions and emphasizing teamwork.  When you join our team, you’ll have an opportunity to make meaningful contributions at a company that is recognized as a thought leader in both the financial services and technology industries. A DTCC career is more than a good way to earn a living. It’s the chance to make a difference at a company that’s truly one of a kind.

Learn more about Clearance and Settlement by clicking here.

Enterprise Services comprises of multiple business platforms including Client Services, Global Business Operations, Business Architecture, Data Strategy and Analytics, and Digital Services, which report into the Chief of Enterprise Services.

These grouped platforms enable the business to optimize delivery for clients, generate efficiencies and resilience, and enable consistency in the business digitization strategy, processes and end-to-end best practices.