Data Management Senior Associate

DTCC • Tampa, FL

3d • Hybrid

About The Position

As a core member of DTCC’s Data Management Team within Enterprise Data Solutions, the Senior Associate drives projects forward, manages key deliverables, and helps align stakeholders. The team 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 Management initiatives, working in an agile, cross-functional environment with business, product, operations, technology, architecture, data governance, quality, and testing teams. The position calls for a self-directed, analytical professional who can manage shifting priorities, learn new concepts, work through ambiguity, analyze and document data and business requirements, and communicate effectively with technical and business stakeholders.

The role owns data initiatives across their lifecycle, from engagement and requirements discovery through execution and close-out. It also involves data analysis and stewardship, including identifying authoritative data sources, documenting data elements and rules, supporting data modeling, monitoring data quality, maintaining metadata, and helping investigate and remediate data issues. The position uses Excel and SQL for data analysis, profiling, validation, lineage review, and issue investigation.

DTCC offers a flexible/hybrid model of three days onsite and two days remote. Compensation and benefits include base pay and annual incentive, health and life insurance and well-being benefits, pension/retirement benefits, paid time off, and personal/family care and other leaves of absence. The salary range is described as indicative for roles at the same level across US locations; no specific range is provided.

Requirements

• 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 clearly 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 such as Collibra.
• Familiarity with data quality concepts and issue root-cause analysis.

Nice To Haves

• Experience using data quality tools such as Ataccama or Informatica DQ.
• Experience with data analysis and visualization tools such as Power BI or Tableau.
• Experience in financial services.

Responsibilities

• Own and manage multiple data initiatives throughout their lifecycle, from engagement and requirements discovery through execution and close-out, ensuring alignment 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 them in a timely manner, plan remediation, and communicate clearly with stakeholders.
• Contribute to agile squads by participating 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 for business processes and downstream use cases.
• Define and document business rules that support consistent data use 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 with senior stakeholders.
• Prepare analysis, reports, status updates, and presentations for leadership, business, and delivery audiences.
• Perform preliminary data analysis to assess data availability, identify Authoritative Data Sources (ADS), and support onboarding approaches for new or enhanced data.
• Use Excel and SQL for targeted data analysis, profiling, validation, lineage review, and issue investigation to support requirements definition, impact analysis, and decision-making.
• Collaborate with business and operational partners to define and document business data elements, including standardized names, definitions, valid values, and business rules.
• Provide business context, data analysis, and source-system insight to support data modelers in developing conceptual and logical data models.
• Monitor data quality controls and support data quality initiatives, including profiling, defining and documenting quality and validation rules, root-cause analysis, remediation, and data cleansing.
• Maintain required metadata for critical and prioritized data elements in enterprise repositories, supporting consistency, traceability, and governance.
• Adhere to established procedures and controls, identify potential issues early, and demonstrate ethical judgment.

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.
• Personal/family care and other leaves of absence.

What This Job Offers

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