Data Management Associate Director (EMEA/US)

Job Description

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.

Job Family: Clearing & Securities Services

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).

• Lead the team of Data Management Analysts located in the offshore location, including day-to-day staff management
• Act as point of contact for the offshore data analyst team, liaise regularly with onshore management, and communicate any key updates from the offshore location
• Produce periodic reports on offshore team activity to management
• Help with recruiting for open positions in the offshore location, and onboarding & training of new hires

• Independently lead multiple data initiatives through the lifecycle of engagement, execution and close-out, managing scope, dependencies, and delivery outcomes
• 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 conceptual and logical data models.
• Maintain required metadata in the enterprise metadata repository for critical and prioritized data elements.
• Lead data quality activities, including data profiling, defining data quality and validation rules, performing root-cause analysis, and driving data remediation efforts.
• Identify opportunities to scale data programs, processes, and tooling; define business requirements for scaling solutions and support delivery roadmaps.
• Define, track, and report key metrics aligned to business use cases and data outcomes.
• Produce clear, concise analysis and reporting to support business decision-making.
• Create and deliver high-quality presentations for stakeholders and leadership, tailored to the appropriate level of detail.
• Serve as a key contributor within agile squads as part of the Data Management team.
• Mitigate risk by adhering to established controls, identifying issues early, and demonstrating strong ethical judgment.

• Minimum of 7 years of related experience
• Bachelor's degree (preferred) or equivalent experience

• Experience in management consulting, banking, capital markets, or financial operations preferred
• Deep understanding of data management processes and standard methodologies
• Hands-on technical skills, including the ability to independently write and execute SQL queries for data profiling and analysis, including complex joins, subqueries, and common table expressions (CTEs)
• Working knowledge of logical data modeling and relational database design considered a plus, along with familiarity with business architecture frameworks and concepts
• Proficiency with Excel & PowerPoint - comfortability in using data to create a narrative
• Strong analytical and problem-solving skills
• Excellent written and verbal communications skills
• Ability to drive creative and solution-oriented activity with all participants and collaborators
• Prior experience working with technology and business teams on modernization or transformation initiatives
• Ability to work closely with management to prioritize business and information needs