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OVERVIEW OF 73 STRINGS: 73 Strings is an innovative platform providing comprehensive data extraction, monitoring, and valuation solutions for the private capital industry. The company's AI-powered platform streamlines middle-office processes for alternative investments, enabling seamless data structuring and standardization, monitoring, and fair value estimation at the click of a button. 73 Strings serves clients globally across various strategies, including Private Equity, Growth Equity, Venture Capital, Infrastructure and Private Credit. Our 2025 $55M Series B, the largest in the industry, was led by Goldman Sachs, with participation from Golub Capital and Hamilton Lane, with continued support from Blackstone, Fidelity International Strategic Ventures and Broadhaven Ventures. About the Role: 73 Strings has been consistently growing and continuously innovating on its product offerings. As we step into the next phase of growth, we are investing in the foundational data platform that powers our AI-augmented products across monitoring and valuation. Today, we have real business demand for data, capable engineers spread across business units, and multiple stakeholders, but no single accountable delivery owner for the data platform itself. This role exists to change that, The Senior Data Product Manager, will be the senior individual contributor who turns the data strategy into shipped product, co-shapes the operating model on the ground, and brings the product discipline and technical credibility needed to make the strategy real. If you have built foundational data products in a low-maturity environment before, and you want to do it again with executive sponsorship and a clear strategic partner, this role is for you. Key Responsibilities: You will own delivery of the foundational data platform and core data products that the rest of 73 Strings depends on. Specifically: The ideal candidate demonstrates proficiency in leveraging AI tools to automate workflows and optimize daily output. We value individuals who proactively integrate emerging technologies to enhance efficiency and deliver high quality results. 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 data products you own: 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, executing using a lean, problem-first approach. Stay on top of internal consumer needs through qualitative and quantitative insights. Identify key opportunities using strong analytical thinking and transform them into action. Define and execute delivery plans across business units and ensure clear communication with internal stakeholders, particularly the engineering teams currently distributed across BUs. 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. General PM experience without data infrastructure depth will be discounted. Technical foundation. You started your career in a hands-on technical role (data engineering, software engineering, analytics engineering, or similar) and retain that depth. You can read a data model, challenge a pipeli