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Cross River Bank

Data Product Manager (FinTech, Lending and Capital Markets)

Cross River Bank, Fort Lee, New Jersey, us, 07024


Who We Are

Cross River is a highly profitable, fast-growing financial technology company powering the future of financial services. Our comprehensive suite of innovative and scalable embedded payments, cards, and lending products deliver financial services for millions of businesses and consumers around the globe. Cross River is backed by leading investors and serves the world’s most essential fintech and technology companies. Together with its partners, Cross River is reshaping global finance and financial inclusion.

We are on a mission to build the infrastructure that propels access, inclusion, and the democratization of financial services. While our company has tripled in size over the last three years, our strong sense of purpose led Cross River to be named to American Banker’s list of Best Places to Work in Fintech for the last 6 years. The reason for this success is simple – our nimble and collaborative family culture lives in every member of our growing team. Together we are at the forefront of technology and innovation, and we invite passionate, collaborative, and motivated high performers to join our expanding team.

What We're Looking For

As a Data Product Manager, you will be responsible for leading the development and management of data products that enhance our lending, fintech, and capital markets offerings. You will work closely with cross-functional teams, including engineers, data analysts, and business stakeholders, to drive the product lifecycle from ideation to execution. Your role will be critical in translating complex data needs into actionable insights while ensuring that business stakeholders can leverage these solutions without needing to understand the underlying technical complexities.

Key Responsibilities:

Product Strategy & Roadmap: Define and execute the product vision, strategy, and roadmap for data-driven products in lending, fintech, and capital markets.

Cross-functional Collaboration: Work closely with engineering, data analytics, and business teams to ensure seamless integration of data products into existing systems and workflows.

Stakeholder Management: Partner with business stakeholders to understand their needs and translate them into technical requirements, acting as a bridge between non-technical stakeholders and technical teams.

Data Analysis & Engineering: Utilize SQL and other data tools to analyze large datasets, generate insights, and make data-driven decisions. Collaborate with engineers on data architecture and ETL processes as needed.

Problem-Solving: Lead the resolution of complex data-related challenges, ensuring that products deliver meaningful and accessible insights to users.

Product Execution: Own the end-to-end product lifecycle, from defining requirements and managing the backlog to leading agile development cycles and product launches.

User Experience: Advocate for intuitive, user-friendly data products, ensuring that business stakeholders can easily interpret and use the solutions without needing to understand the complexity of the data systems.

Industry Expertise: Leverage your deep understanding of lending, fintech, and capital markets to identify market opportunities and drive innovative solutions. Deep knowledge of private credit markets, structured finance, syndicated loans, debt instruments, and capital markets dynamics. Prior experience working with institutional investors, credit platforms, or debt markets is a plus.

Qualifications:

Experience in an organization like dv01 or similar fintech companies is highly desirable.

5+ years of experience as a Data Product Manager or in a similar role within the fintech, lending, capital markets, private credit, or related financial services

Strong technical skills in SQL, data analysis, and the ability to work hands-on with engineering teams. Familiarity with FinTech platforms is an asset.

Familiarity with ETL processes, data modeling, database management, relevant regulations (e.g., SEC, Dodd-Frank, MiFID II) and risk management practices in capital markets and private credit.

Proven experience managing complex data products from ideation to execution and the ability translate market trends into actionable product insights and develop strategies that drive business results

Ability to simplify and translate technical data concepts for non-technical stakeholders.

Strong communication and stakeholder management skills, with the ability to influence across all levels of the organization. Demonstrated leadership in cross-functional teams.

Bachelor’s degree in Computer Science, Data Science, Finance, or a related field.

Preferred Qualifications:

Experience with data visualization tools (e.g., Tableau) and other data-related tools.

Familiarity with cloud platforms (AWS, SnowFlake) and big data technologies.

Experience working in an agile product development environment.

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Salary Range: $150,000.00 - $180,000.00

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