AI Transformation Director
Riplo LondonEst. Est. GBP 120,000–160,000 / yearLead
Estimated range based on role, country and industry — not published by the company.
Key requirements
- Consulting
About Riplo
Riplo is a VC-backed, AI-native advisory and technology firm serving private equity across the deal lifecycle. We combine deep diligence expertise, forward-deployed AI teams and our own AI platform to give PE funds and their portfolio companies sharper answers and working AI, faster. We are growing quickly, winning work with leading funds and expanding the team, and this hire is a key part of that next phase.
Advisory: thematic research, commercial due diligence (CDD), AI due diligence, AI value creation, AI build solutions and exit readiness.
Solutions: forward-deployed AI teams that turn AI value creation plans into working software and measured value inside portfolio companies.
Software: building the operating layer for consulting.
Clients: mid-market and large-cap PE funds and their portfolio companies across the UK, Europe and the US.
Operating model: flat and AI-leveraged. Senior people work directly on the programme, supported by AI rather than layers of juniors.
Team: a blend of DD consultants, PE portfolio operators, AI advisors and AI engineers, with advisory and engineering working side by side.
Our team and culture
AI is rewriting the rules of consulting and of how portfolio companies operate. Most advisory firms are waiting to see what happens. We decided to be the ones making it happen.
We are a small, senior team that moves fast, sets a high bar and genuinely enjoys building Riplo together. Every person here shapes what Riplo becomes.
We build side by side in the office 4–5 days a week, because the best ideas come from being in the room together. If you want to sit at the table with us, roll up your sleeves and build something that matters, we want to meet you.
AI Transformation Director, Solutions · London (in office 4–5 days a week) · Full-time
This is not a typical transformation role. You will be a key hire working side by side with our Founding Head of Solutions, leading embedded AI transformation programmes inside PE-backed portfolio companies, standing up and running their AI Transformation Office, and helping build Riplo's Solutions practice from the ground up.
You will own the programme from week 1: governance, roadmap, use-case selection and the path from first build to measured value. Most programmes start with a list of 100+ ideas; your job is to turn that into 5 to 6 quantified use cases with named owners, get the first live within 6 weeks, evidence value against a baseline, and hand over a running office to a permanent owner.
You will have the autonomy of a founder, the exposure of a partner, and the tools of an AI-native firm. Your work will show up directly in portfolio company P&Ls, in fund value creation plans, in our product and in how Riplo grows.
What you'll do
Lead AI transformation programmes
Stand up the client's AI Transformation Office: decision rights, delivery process, monthly AI SteerCo and executive sponsorship.
Build and own the AI roadmap for the next 6+ months, sequenced with the client's data and platform foundations.
Run the use-case staircase end to end: select by week 3 on value, readiness and sponsorship; specify the redesigned workflow by week 4; get working tools in front of real users by week 6; measure results against baseline.
Sequence builds so each one reuses the capability the last one created, making every later use case faster and cheaper.
Gate every build on a named business owner, a baseline, a funded run cost and a route into daily use, with monthly cost and value reporting to the SteerCo.
Drive adoption and capability
Own adoption, not just delivery: enablement strategy, training, stakeholder engagement and usage dashboards that move AI from experimentation to daily workflow.
Compress how client teams build software, embedding agentic practices from spec to release and coaching engineers through the change.
Build the client's own capability, with a plan to move at least half of AI engineering capacity in-ho
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