Data Management Associate Director

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:

As a core member of the Data Management Team within Enterprise Data Solutions, an Associate Director will be responsible for driving projects forward, managing key deliverables, and helping to drive alignment with key stakeholders. Data Management is a high-impact, fast paced team focused on strategic data solutions, supporting data-driven transformation and modernization efforts, and establishing, maturing, and driving the implementation of industry-leading data management practices for the enterprise.

The ideal candidate for this position is a self-starter with strong analytical skills and a demonstrated ability to prioritize, own and drive projects, and quickly learn new concepts and frameworks. Success in this role demands the ability to work in a fast-paced environment and adapt to shifting priorities.

You will provide critical support for the management of Data Domains aligned to the team, including support of enterprise-wide Data Management initiatives. You will need to work effectively within an agile framework as part of a cross functional team that includes Product Managers, Product Owners, Business Architects, Operations and Information Technology Subject Matter Experts, Data Architects, Data Modelers, Enterprise Test Engineers, Data Governance and Data Quality Leads, IT Business System Analysts, and other Data Management Analysts.

You should also be able to work independently with the appropriate initiative-taking and problem-solving, even in ambiguous situations.

Your role is key in bridging the gap between IT and the business and requires the ability to access, profile and analyze data, understand and document business requirements, and communicate clearly and concisely with a broad range of technical and business stakeholders.

Your

Primary Responsibilities:

* Independently lead multiple data initiatives through the lifecycle of engagement, execution and close-out, managing scope, dependencies, and delivery outcomes

* Provide workstream leadership through effective delegation, quality oversight, and management of junior team members across geographies, including onboarding and training

* Collaborate across business, operations, and technology teams to elicit requirements, develop project plans, estimate effort, and identify required resources

* Partner with Product Owners and stakeholders to scope data management deliverables and translate business needs into clear, actionable user stories

* Lead preliminary data analysis for new initiatives, including assessing data availability within DTCC, identifying authoritative data sources, and defining onboarding approaches for new or enhanced data.

* Utilize SQL to perform data analysis, validation, lineage analysis, and issue investigation across enterprise data sources in support of requirements definition, data quality, and decision‑making.

* Work with business and operational partners to define and document business data elements, including standardized names, clear definitions, and valid values.

* Support data modeler efforts by providing business context, data analysis, and source‑system insight to inform…