Kapitus is building an enterprise data and AI capability that replaces legacy analytics workflows with governed, reusable business data products. The Data Product Manager owns products throughout their full life cycle, from identifying business problems and defining value hypotheses through business cases, development, launch, adoption, usage reporting, and retirement. The role connects business requirements, data engineering, governance, and customer-facing teams, managing products against business outcomes rather than technical output. It is a product-discipline role, not a hands-on engineering position; the manager must understand the data architecture sufficiently to connect requirements to it and work credibly with engineers. Experience in the relevant financial-services business vertical is required; AI fluency is advantageous but not required. The role works with business and technical stakeholders to define, prioritize, build, validate, measure, and manage data products. Product specifications should align with the platform’s layered data foundation, governed core entities, certified semantics, and serving channels such as BI, APIs, ML, and AI. The position also coordinates between U.S.- and India-based teams and partners with Data Engineering and Data Governance in an Agile/Scrum environment. Kapitus offers a stated salary range of $96,300–$154,400 annually, with annual incentive compensation eligibility of up to 10%. Remote candidates may be considered if they reside in a state where Kapitus or a subsidiary has an established physical presence.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Job Type
Full-time
Career Level
Mid Level