Data Product Manager

Position Description

As Data Product Manager, you will champion a Data-as-a-Product mindset. This role owns our product strategy and pipeline, helps to translate business needs into technical scope, and defines the product roadmap and timeline. The successful candidate will need to be agile delivery focused, proficient in SQL syntax/querying, have a strong familiarity with data pipelines/ data warehousing, and be comfortable working with senior and demanding stakeholders in a fast-paced environment.

Bonus points for experience in the fintech lending sector. This position will be based out of one of our office in San Francisco, CA or Santa Clara, CA.

• Responsible for aligning with the business goals by defining requirements and enforcing an end-to-end data platform, complete with associated standard policies, compliances, security practices, and technologies across the data ecosystem.
• Understand the product vision, both from a business and data perspective.
• Own and maintain the product roadmap, tracking the progress of the team’s commitment to deliver, clearly communicating status.
• Work closely with the delivery team; own, manage, and convey requirements through user stories to inform the scope and design of data solution, planning and being available for technical inquiries and support.
• Collaborate with a cross‑functional delivery team, data architects, and data analysts defining roadmaps, requirements, and solutions.
• Assist delivery manager during estimation sessions, to help prioritize features.
• Identify key risks and issues and ensure they are escalated in a timely manner.
• Act as data point person in key team ceremonies: weekly showcases, estimations, backlog refinement, planning sessions, and retrospectives.
• Work closely with stakeholders to understand new requirements, how they impact existing data pipelines, and what we need to ensure the integrity of the Data Warehouse.

• Bachelor’s degree in the field of computer science or engineering, or focus on data/statistical analysis or equivalent experience highly desired.
• 5+ years of experience in a data‑related role (SQL, familiarity with data pipelines, data quality, ETLs, and data warehousing practices).
• Experience working with Jira and Confluence.
• Detail and results‑oriented, able to write detailed specs, data flows, and analyze data to justify product decisions, and apply key learnings.
• Excellent written and verbal communication skills across various teams and audiences.
• Strong problem‑solving skills and ability to logically analyze complex requirements, data sets, processes, and systems.
• Experience of working in an agile environment.
• Familiarity with data ingestion APIs, data sharing technologies, data warehouse infrastructure (Snowflake, Redshift, etc.) and development practices.
• Good understanding of software development process with an appreciation for maintaining a high‑quality bar with low operational overhead.

• Creative problem‑solver; takes a high level of initiative, has a strong sense of personal accountability to always follow through.
• Interest in relational database management, best data practices, keeping up to date with the latest technologies/ data solutions.
• Strong ownership of the tasks, user stories, and projects that are assigned with a clear‑eyed end goal.
• Passionate about offering scalable solutions and providing excellent customer service.