AI & Data Science Product Owner (Private Equity)
AI & Data Science Product Owner (Private Equity)

AI & Data Science Product Owner (Private Equity)

London Full-Time 140000 - 170000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Drive AI solutions for investment professionals and prototype innovative tools.
  • Company: Leading private equity firm with a focus on real-world impact.
  • Benefits: Competitive salary, bonuses, and an excellent package.
  • Why this job: Make a tangible difference in the investment world with cutting-edge AI.
  • Qualifications: Experience in product roles and a strong technical background.
  • Other info: Work directly with top minds in private markets and enjoy creative freedom.

The predicted salary is between 140000 - 170000 £ per year.

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 Europe’s most successful private markets investors. This role will be joining a leading charge in global brands. We’re 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. You’ll 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, you’ll partner with engineers and data scientists, but the ideas, testing, prioritisation, and rollout? That’s 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 you’ll 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 domain’s needs

What we’re 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, you’ll see the results of your work in real time
  • Freedom to build, prototype and test ideas before involving engineering
  • Incredible access, you’ll 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

AI & Data Science Product Owner (Private Equity) employer: Delaney & Bourton

Join a forward-thinking private equity firm that champions innovation and empowers its employees to make a tangible impact in the investment landscape. With a culture that prioritises autonomy and creativity, you'll have the opportunity to develop cutting-edge AI tools alongside some of the brightest minds in the industry, all while enjoying a competitive salary and an excellent benefits package. This role not only offers a direct line of sight to business outcomes but also fosters professional growth through hands-on experience and collaboration with high-performing teams.
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Contact Detail:

Delaney & Bourton Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI & Data Science Product Owner (Private Equity)

✨Tip Number 1

Network like a pro! Get out there and connect with folks in the private equity and AI space. Attend industry events, join relevant online forums, and don’t be shy about reaching out on LinkedIn. You never know who might have the inside scoop on job openings!

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your AI projects or prototypes. Whether it’s a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.

✨Tip Number 3

Prepare for those interviews! Research the company and its investment strategies thoroughly. Be ready to discuss how your experience aligns with their needs, especially around AI-driven solutions. Practice common interview questions and think about how you can demonstrate your technical prowess.

✨Tip Number 4

Apply through our website! We’re all about making connections that matter. By applying directly, you’ll not only get your application in front of the right people but also show your enthusiasm for the role. Don’t miss out on this opportunity!

We think you need these skills to ace AI & Data Science Product Owner (Private Equity)

AI Tooling
APIs
Python
JavaScript
Notion
Retool
Streamlit
Product Management
Investment Process Knowledge
Prototyping
Data-Driven Decision Making
Training and Support
Cross-Strategy Collaboration
Commercial Impact Awareness
AI & Data Science Product Owner (Private Equity)
Delaney & Bourton
Location: London
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  • AI & Data Science Product Owner (Private Equity)

    London
    Full-Time
    140000 - 170000 £ / year (est.)
  • D

    Delaney & Bourton

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