Enterprise Data and AI Governance Senior Associate

Are you ready to make an impact at DTCC?  

Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We are committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve.

Pay and Benefits:

• Competitive compensation, including base pay and annual incentive
• Comprehensive health and life insurance and well-being benefits, based on location
• Pension / Retirement benefits
• Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
• DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee).

The Impact you will have in this role:

The Data Governance Senior Associate supports the implementation and execution of enterprise data governance and data risk management programs across assigned business domains. Working closely with Data Owners, Data Stewards, technology teams, and governance stakeholders, this role helps ensure data governance requirements are documented, implemented, monitored, and maintained in accordance with established policies, standards, and procedures.

The role combines governance execution, data analysis, metadata management, lineage documentation, stakeholder engagement, and risk assessment support to improve data quality, transparency, and regulatory compliance across the organization.

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:

• Minimum of 6 years of related experience
• Bachelor’s degree preferred or equivalent experience

Talents Needed for Success:

• • 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 l…