Senior Data Product Manager

Stack

Responsibilities

• ▹Translate the data platform strategy into shipped product; co-shape the operating model, draft it, socialise it with stakeholders, and make it operational in day-to-day delivery
• ▹Ship foundational data pipelines and flagship data products to production, with named consumers, defined SLAs, and measurable adoption
• ▹Stand up product practices for the owned data products: intake, prioritisation, data contracts, lifecycle, and metrics
• ▹Manage the roadmap for foundational data products, prioritise opportunities across competing stakeholder demands, and maintain existing data products to drive business goals
• ▹Produce high-quality product requirements, in collaboration with the Product Director, SMEs, design, and engineering teams, using a lean, problem-first approach
• ▹Stay on top of internal consumer needs through qualitative and quantitative insights; identify key opportunities and transform them into action
• ▹Define and execute delivery plans across business units, ensuring clear communication with internal stakeholders, particularly the engineering teams distributed across business units
• ▹Provide training and end-user support (primarily to internal teams) during rollout of new data products

Requirements

• ▹Product management track record: 6+ years of hands-on product management experience, of which at least 3 years owning data platforms or data products end to end
• ▹Technical foundation: started career in a hands-on technical role (data engineering, software engineering, analytics engineering, or similar) and retains that depth — can read a data model, challenge a pipeline design, and write SQL well enough to validate own assumptions
• ▹Greenfield contribution: meaningfully contributed to building a data platform from a low-maturity starting point
• ▹Data-driven culture exposure
• ▹Senior individual contributor; this is an IC role, not a people-management role
• ▹Outcome-driven: measures self on adoption, business impact, and decisions changed, not on output or tickets closed
• ▹Hands-on: writes own specs, drafts own data contracts, prototypes own analyses when needed
• ▹Challenges the status quo diplomatically but firmly
• ▹Comfortable without authority; practiced at influence and framing
• ▹Industry: adjacent industry experience acceptable; platform and operating-model experience matters more than domain
• ▹Exceptional written and verbal communication

Nice to have

• ▹Prior exposure to PE/VC, valuations, or financial services (a plus, not a requirement)

Soft skills

About the company

73 Strings is an innovative platform providing comprehensive data extraction, monitoring, and valuation solutions for the private capital industry. Its AI-powered platform streamlines middle-office processes for alternative investments, enabling seamless data structuring, standardization, monitoring, and fair value estimation at the click of a button, serving clients across Private Equity, Growth Equity, Venture Capital, Infrastructure, and Private Credit. Its 2025 $55M Series B, the largest in the industry, was led by Goldman Sachs, with participation from Golub Capital and Hamilton Lane, and continued support from Blackstone, Fidelity International Strategic Ventures, and Broadhaven Ventures.