Transaction Banking, Data Product Manager, Associate

Goldman Sachs

73d

About The Position

We are looking for a Data Product Manager, to own and execute these functions for a core portfolio of data assets as well as support an overall Data Product team. The individual should have an interest in overall business and financial performance and have strong analytical, data, and platform experience to help own and operate some of the following functions:
Collaborate with multiple stakeholders including product and engineering to build and enhance a core portfolio of data assets and dashboards ensuring data quality and integrity. Define and document technical requirements, user stories, and acceptance criteria for data transformation pipelines, ensuring engineering teams have clear specifications for implementation.
Build strong, trusted working relationships with critical business partners (e.g. Products, Sales, Operations, Engineering, etc.) to ensure that the processes are executed in accordance to standards
Execute the product lifecycle for data and BI assets, from discovery and requirements definition through launch and iteration, ensuring alignment with business objectives.
Document standard operating procedures for data governance, transformation processes, and BI tool usage to ensure consistency and scalability.
Design, build, and maintain a core suite of dashboards and reports leveraging transaction banking data assets to provide actionable insights. Create effective, user-friendly reporting solutions that enable stakeholders to make data-driven decisions with confidence.
Implement and enforce data governance processes including documentation of data lineage, transformation logic, and data quality rules across multiple environments.

Requirements

• Minimum of 3 years of experience in data product management, data analysis, or a related role within the financial services, fintech, or consulting industries
• Bachelor’s Degree or military experience
• Proven analytical skills with a passion for extracting insights from large datasets to drive data-informed decision-making.
• Proficiency in project management tools (e.g., Jira, Confluence) and data visualization analytics tools (e.g., Power BI, Amazon QuickSight, Alteryx). Experience with SQL and/or Python is a plus.
• Able to prioritize opportunities in ambiguous situations and align work with strategic objectives.
• Collaborative team player with the ability to navigate and influence a complex organization.
• Understanding of data privacy regulations (e.g., GDPR, CCPA) and a commitment to maintaining a robust data governance and controls environment.

Nice To Haves

• MBA or Master’s degree
• Strong knowledge of the Transaction Banking industry, including Treasury Services, Liquidity, and FX.
• Experience with a relevant quantitative field, e.g. statistics, business analysis, general product management, etc.

Responsibilities

• Collaborate with multiple stakeholders including product and engineering to build and enhance a core portfolio of data assets and dashboards ensuring data quality and integrity.
• Define and document technical requirements, user stories, and acceptance criteria for data transformation pipelines, ensuring engineering teams have clear specifications for implementation.
• Build strong, trusted working relationships with critical business partners (e.g. Products, Sales, Operations, Engineering, etc.) to ensure that the processes are executed in accordance to standards
• Execute the product lifecycle for data and BI assets, from discovery and requirements definition through launch and iteration, ensuring alignment with business objectives.
• Document standard operating procedures for data governance, transformation processes, and BI tool usage to ensure consistency and scalability.
• Design, build, and maintain a core suite of dashboards and reports leveraging transaction banking data assets to provide actionable insights.
• Create effective, user-friendly reporting solutions that enable stakeholders to make data-driven decisions with confidence.
• Implement and enforce data governance processes including documentation of data lineage, transformation logic, and data quality rules across multiple environments.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees