Data Product Manager, Cross River

• Prior experience working with institutional investors, credit platforms, or debt markets is a plus
• 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

Desirable

• 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
• 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