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Skills for Data Management Specialist: Senior Associate, Manager

Key Responsibilities

Collaborate with stakeholders to gather and translate data needs into detailed technical specifications.

Act as a data product owner—helping define, prioritize, and release data services and assets.

Define data and metadata requirements, including naming standards, master data elements, and business rules.

Perform data discovery, profiling, and statistical analysis to assess completeness, accuracy, and conformity.

Create, document, and maintain data process maps, integration flows, and data models.

Address data discrepancies by conducting root-cause analysis and coordinating remediation.

Assist in automating data pipelines, feeds, and interfaces across systems including cloud environments like AWS.

Support end-to-end delivery of data products, partnering with Data Engineers and analysts.

Domain Knowledge

Consumer or Business Lending or Wealth Management.

Soft Skills

Communication: Excellent verbal and written communication.

Problem-Solving: Strong analytical and problem-solving capabilities, attention to detail.

Interpersonal Skills: Self-directed yet collaborative project orientation; ability to work cross-functionally.

Technology Skills

Advanced SQL skills across enterprise-level DBMS (e.g., Redshift, Oracle, SQL Server) and Python scripting.

Familiarity with data governance, metadata management, and automation best practices.

Mandatory Attributes: Knowledge of Agile methodologies and data product life cycle practices.

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