AI & Data Science Product Owner (Private Equity)

Delaney & Bourton

City of London

3 months ago

Applications closed

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Salary: circa 140k-170k + Bonus + Excellent Package

Opportunity:

Looking to break away from corporate red tape and actually ship real AI-powered tools that investment professionals use every day? We're hiring a Data & AI Product Owner to drive meaningful change at one of Europes most successful private markets investors. This role will be joining a leading charge in global brands. Were looking for a couple of hires to focus on either Credit or Infrastructure investing.

This is not your standard product role. You'll be embedded directly into a high-performing investment team (e.g. Private Equity, Credit, Secondaries, Infrastructure), identifying real-world problems and shaping practical, data- and AI-driven solutions, fast.

Youll have the autonomy to experiment with tools like Notion, Retool, Streamlit, n8n, and build lightweight MVPs yourself using Python, JavaScript, or low/no-code stacks. For complex builds, youll partner with engineers and data scientists, but the ideas, testing, prioritisation, and rollout? Thats you.

Who will this suit?

A senior-level IC. Not a hands-off product manager. Organisation are rewarding for technical ability coupled with business value, not leadership skills. Someone that has clearly demonstrated embedding actual, value driven AI solutions. Someone that understands FS, Fintech or Investment, Private Equity etc.

What youll be doing

Work hand-in-hand with investment officers to uncover friction points and AI opportunities
Prototype, source, or help build tools that improve deal execution, research, and decision-making
Manage your own product backlog, driven by business value, not vanity metrics
Drive adoption with sharp onboarding, training, and support
Influence cross-strategy builds and enterprise tools by representing your domains needs

What were looking for

Experience in product, innovation, or strategy roles - ideally at MBB, venture, or early-stage AI/product teams
Technical degree (CompSci, Engineering, Math, etc.) and confidence using AI tooling and APIs
Experience building or implementing tools using Notion, Vercel, Retool, Airtable, Streamlit, etc.
Strong grasp of the investment process (e.g., PE, Credit, Infra, or Secondaries)
Bias for action, a love of hacking together working prototypes, and a nose for commercial impact

Why this is different

Direct line of sight to business impact, youll see the results of your work in real time
Freedom to build, prototype and test ideas before involving engineering
Incredible access, youll work directly with some of the sharpest minds in private markets
Real AI, applied today, not future dreams; agents, copilots, and Q&A tools are already in play

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