Senior Data Product Manager in London

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.

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.

Qualifications:

• 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: You started your career in a hands-on technical role (data engineering, software engineering, analytics engineering, or similar) and retain that depth.
• Greenfield contribution: You have meaningfully contributed to building a data platform from a low-maturity starting point.
• Data-driven culture exposure: You have worked in an organisation where data genuinely powered decision-making.
• Senior individual contributor: This is an IC role, not a people-management role.
• Outcome-driven: You measure yourself on adoption, business impact, and decisions changed.
• Hands-on: You will write your own specs, draft your own data contracts, and prototype your own analyses when needed.
• Challenges the status quo: You name the things others avoid naming.
• Comfortable without authority: Most of the engineering capacity you depend on does not report to you.
• Industry: Adjacent industry experience is acceptable.
• Communication: Exceptional written and verbal communication.

Responsibilities:

• You will own delivery of the foundational data platform and core data products that the rest of 73 Strings depends on.
• 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.
• Stay on top of internal consumer needs through qualitative and quantitative insights.
• Define and execute delivery plans across business units and ensure clear communication with internal stakeholders.
• Provide training and end-user support during rollout of new data products.