Data & AI Consultant
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
Job description
Data & AI Delivery Consultant PE-backed consultancy in the Finance Space £65k - £80k + 40% bonus Covent Garden, London | Onsite What’s in it for me? Exposure to working in a PE-backed business. With more investment flooding into the market, gaining direct exposure to how a PE-backed org transforms, grows and prioritises commercial gain is invaluable in today’s highly competitive candidate market Take on a pivotal role in enabling AI adoption across the org, wearing a commercial hat to boot Take your consulting skills ‘in-house’ and support teams vertically and horizontally to embed, own and ensure success of AI. as well as demonstrating commercial gain. A rising role in the current market We are partnering with a successful PE-backed consultancy to appoint a commercially focused Data & AI Delivery Consultant. The business has already established a strong data architecture and launched several successful AI applications. It is now looking for someone to help shape and deliver the next phase of its data, AI and automation roadmap. This is not a developer or engineering role. You will act as the bridge between business stakeholders, Product and Engineering, identifying valuable opportunities, translating business challenges into clearly scoped initiatives and ensuring new solutions are successfully delivered and embedded. You will:Engage with commercial and client-facing teams to understand their priorities, challenges and workflowsIdentify where data, AI and automation could improve client delivery, efficiency, quality or commercial performanceAssess and prioritise opportunities based on value, feasibility, risk and effortBuild business cases, define success measures and translate ideas into clear delivery scopesCoordinate delivery across stakeholders, Product and EngineeringSupport user testing, feedback and iteration throughout the build processLead rollout, training and adoption across the businessTrack outcomes and demonstrate the commercial impact of new
Requirements
solutions The Engineering team will undertake the majority of the technical build. Your responsibility is to ensure the right problems are being solved, and that the resulting tools genuinely work for the people using them. You are likely to have proven experience in consulting, product, proposition, transformation, project delivery, business analysis or a commercially focused data role. You will bring:Strong commercial judgement and the ability to connect technology with measurable business valueExcellent stakeholder management and communication skillsExperience owning cross-functional initiatives from discovery through to delivery and adoptionA structured approach to prioritisation, project management and problem-solvingConfidence working with senior, commercial and technical stakeholdersThe initiative and resilience to thrive in a fast-paced, evolving PE-backed environment You do not need to be a developer. However, you should have enough technical curiosity and understanding to work credibly with Product and Engineering teams. Experience with data, analytics, AI, automation, Power BI, Microsoft Power Platform or tools such as n8n would be advantageous. Previous exposure to financial services, professional services or another regulated environment would also be valuable, but is not essential. The opportunityThis is a highly visible role with the opportunity to shape an important business-wide agenda, work closely with senior leadership and turn emerging data and AI capabilities into tangible commercial outcomes.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production
Navigating the AI Shift
What Industries Outside of AI Are Hiring The Most AI Experts?
MLOps – What’s the deal behind it?