Transaction Banking, Data Product Manager, Associate
Posted 16 days ago
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The Data Product Manager will own the full lifecycle of transaction banking data assets, defining requirements, driving usage through dashboards and reports, and ensuring data quality and documentation. They will collaborate closely with product, engineering, sales, and operations to translate business needs into technical specifications and deliver actionable BI solutions. The role includes executing product lifecycle activities for data and BI assets, managing ad-hoc requests, and implementing data governance, lineage, and quality rules. Strong analytical skills and experience with tools like SQL, Power BI/QuickSight, and project management platforms are important.
- Compensation
- Not specified
- City
- Dallas
- Country
- United States
Currency: Not specified
Full Job Description
TRANSACTION BANKING
We aim to build a modern and digital-first transaction banking solution to serve our clients. Our business combines the strength, heritage, and expertise of a 150-year-old firm with the agility and entrepreneurial spirit of a tech start-up. Our goal is to provide a best-in-class digital product that helps clients to succeed by giving them a holistic view of their business. Through the use of modern technology built on the cloud, we are the alternative to legacy platforms. We’re a team of diverse experts helping our clients to build the future of their Treasury.
Data Product Team
The Data Product team is responsible for the full lifecycle of transaction banking data assets. This includes:
- Defining and prioritizing requirements for building and enhancing data assets.
- Driving data asset utilization by building dashboards and reports via BI tools like Amazon Quick Suite.
- Ensuring robust documentation of data transformation, lineage and definitions.
- Managing ad-hoc data requests and ensuring timely delivery of accurate information.
JOB SUMMARY AND RESPONSIBILITIES
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.
QUALIFICATIONS
- 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.
Preferred:
- 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.
ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
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Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
