Data Management Senior Associate

DTCC • Tampa, FL

4d • Hybrid

About The Position

As a core member of DTCC’s Data Management Team within Enterprise Data Solutions, the Senior Associate drives data projects and deliverables, aligns stakeholders, and supports strategic data solutions, data-driven transformation and modernization, and the implementation of enterprise data management practices. The role supports management of assigned Data Domains and enterprise-wide data initiatives, working within an agile, cross-functional team and independently when needed. It requires strong analytical and organizational skills, adaptability to shifting priorities, and the ability to access, profile, and analyze data, document business requirements, and communicate effectively with technical and business stakeholders.

The position owns data initiatives across their lifecycle, supports planning and delivery tracking, and partners with Business, Operations, Product, and Technology stakeholders to define requirements and translate them into actionable agile work. It also performs data analysis and stewardship, supports data modeling and data quality efforts, maintains metadata, and helps mitigate risk through adherence to procedures and controls.

Requirements

• At least 8 years of experience in a Business Analyst, Data Steward, or delivery-focused role; financial services experience is preferred.
• Bachelor’s degree or equivalent professional experience.
• Strong expertise in business requirements analysis, stakeholder engagement, and agile delivery.
• Proven experience using advanced SQL and Excel to analyze data and support business decisions.
• Solid understanding of how data supports business processes, reporting, and operational use cases.
• Excellent communication skills, including the ability to explain complex topics to non-technical audiences.
• Good analytical, problem-solving, and organizational skills.
• Proficiency with Microsoft Office tools, including Excel and PowerPoint.
• Experience with enterprise data environments, data governance concepts, or metadata platforms.

Nice To Haves

• Financial services experience.
• Experience with metadata platforms such as Collibra.
• Experience with data quality tools such as Ataccama or Informatica DQ.
• Experience with data analysis and visualization tools such as Power BI or Tableau.

Responsibilities

• Own and manage multiple data initiatives from engagement and requirements discovery through execution and close-out, keeping outcomes aligned with business objectives.
• Support project planning, including scope definition, effort estimation, dependency management, and delivery tracking.
• Define, track, and report KPIs and delivery metrics aligned to business outcomes and use cases.
• Identify, track, and manage data-related issues and risks; escalate promptly, plan remediation, and communicate clearly with stakeholders.
• Contribute to agile squads and participate in stand-ups, grooming sessions, delivery reviews, and other agile ceremonies.
• Partner with Business, Operations, Product Owners, and Technology/IT stakeholders to elicit, analyze, and document data requirements, including downstream use cases.
• Define and document business rules that support consistent data usage and decision-making.
• Translate business needs into user stories, acceptance criteria, and prioritized backlogs for agile delivery teams.
• Lead workshops and working sessions to align stakeholders, clarify scope, and resolve open questions.
• Prepare analysis, reports, status updates, and presentations for stakeholder, leadership, executive, business, and delivery audiences.
• Analyze data availability, identify Authoritative Data Sources, and support onboarding approaches for new or enhanced data.
• Use Excel and SQL for data analysis, profiling, validation, lineage review, and issue investigation to inform requirements, impact analysis, and decisions.
• Collaborate with business and operational partners to define and document business data elements, including names, definitions, valid values, and business rules.
• Provide business context, data analysis, and source-system insight to support conceptual and logical data modeling.
• Monitor data quality controls and support profiling, data quality and validation rule documentation, root-cause analysis, remediation, and data cleansing.
• Maintain metadata for critical and prioritized data elements in enterprise repositories, ensuring consistency, traceability, and governance.
• Follow established procedures and controls, identify potential issues early, and demonstrate ethical judgment to mitigate risk.

Benefits

• Competitive compensation, including base pay and annual incentive.
• Comprehensive health and life insurance and well-being benefits, based on location.
• Pension and retirement benefits.
• Paid time off and personal/family care, along with other leaves of absence to support physical, financial, and emotional well-being.
• Flexible/hybrid work model with three days onsite and two days remote.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior