Bachelor’s degree in computer science, Information Systems, Finance, or a related field.
5+ years of experience in data analysis, data governance, or data architecture within a financial services environment.
Strong understanding of data lineage concepts, data modeling, and ETL processes.
Experience with data visualization and lineage tools (e.g., Tableau, Power BI, Collibra, Informatica, Alation).
Familiarity with U.S. regulatory reporting frameworks and requirements.
Excellent analytical, communication, and documentation skills.
Ability to work independently and collaboratively in a fast-paced, regulated environment.
Optional
Experience with regulatory reporting platforms or tools (e.g., AxiomSL, Wolters Kluwer).
Knowledge of data governance frameworks (e.g., DAMA-DMBOK).
Exposure to cloud data platforms (e.g., AWS, Azure, GCP).
Your responsibilities
Data Source Identification: Collaborate with business and technical stakeholders to identify and catalog data sources across the enterprise.
Source-to-Target Mapping: Develop and maintain comprehensive source-to-target documentation, ensuring traceability of data elements from origin to consumption.
Process and Data Analysis: Analyze data flows, business processes, and system interactions to understand data transformations and dependencies.
Data Visualization: Utilize data visualization tools (e.g., Tableau, Power BI, Collibra, Alteryx) to present lineage and data flow insights to technical and non-technical audiences.
Regulatory Reporting Support: Partner with regulatory reporting teams to ensure data lineage supports compliance with U.S. regulatory requirements (e.g., FR Y-9C, FFIEC 031/041, CCAR).
Metadata Management: Contribute to enterprise metadata initiatives by documenting business and technical metadata related to data lineage.
Quality Assurance: Validate lineage documentation through data profiling, reconciliation, and stakeholder reviews.