Enterprise Data and AI Governance Senior Associate

Location: Jersey City, NJ, United States

Your Primary Responsibilities:

• Drive implementation of enterprise Data Governance policies, standards, and procedures within assigned business areas. 
• Communicate governance requirements, risks, dependencies, and implementation progress to project teams and stakeholders. 
• Lead onboarding activities for data domains, systems, reports, and critical data elements into governance processes. 
• Independently manage assigned governance projects and workstreams through the lifecycle from initiation through closing, including project planning, identification of resource requirements, effort estimation, tracking of deliverables, and escalation of risks and dependencies. 
• Partner with Data Owners and Data Stewards to drive the collection, documentation, validation, and maintenance of business metadata, technical metadata, and lineage information. 
• Support governance tool adoption efforts including metadata repositories, lineage platforms, and data quality solutions. 
• Define, track, and report governance KPIs and metrics for identified use cases, and develop dashboards, presentations, and status reports that support stakeholder decision-making. 
• Facilitate meetings and working sessions with business and technology stakeholders to drive decisions, resolve issues, and advance governance deliverables. 
• Gather and translate business requirements into technical development through clear user stories, acceptance criteria, and implementation requirements. 
• Drive Risk and Control Self-Assessment (RCSA) activities under the direction of governance leadership, including the documentation of data-related risks, controls, assessment rationale, and remediation activities. 
• Mitigate risk by following established procedures, monitoring controls, identifying key errors or control gaps, escalating issues appropriately, and demonstrating strong ethical behavior. 

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

Qualifications:

• • 6+ years in data governance, data management, risk management, business analysis, or related disciplines. 
  • Experience working with data governance and metadata management platforms such as Collibra, Ataccama, or similar tools.

  • Strong knowledge of data governance concepts, including Data Ownership, Data Stewardship, Critical Data Elements (CDEs), metadata management, data lineage, and data quality management.

  • Demonstrated ability to apply established governance policies, standards, and procedures to business processes and strategic initiatives.

  • Working knowledge of data lifecycle management, governance operating models, and governance controls.

  • Familiarity with AI data lifecycle and dataset governance practices.

  • Understanding of 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.

  • Experience gathering, documenting, and refining business requirements and translating them into actionable business and technology deliverables.

  • Experience supporting risk management activities, governance assessments, RCSA processes, issue management, or control monitoring within a regulated environment.

  • Strong analytical and problem-solving capabilities with the ability to assess data, identify issues, evaluate risks, and recommend practical solutions.

  • Strong written and verbal communication skills with the ability to explain governance concepts and influence both technical and non-technical stakeholders.

  • Demonstrated ability to independently manage assigned projects or workstreams, balance multiple priorities, and drive high-quality deliverables to completion in a fast-paced environment.

  • Experience defining and reporting KPIs and developing clear, concise, high-quality presentations and reporting tailored to stakeholders and leadership.

  • Strong attention to detail and commitment to producing accurate documentation, reporting, governance artifacts, and stakeholder communications.

  
  The salary range is indicative for roles at the same level within DTCC across all US locations. Actual salary is determined based on the role, location, individual experience, skills, and other considerations. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

About Us

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.

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About the Organization

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.