Data & AI Solutions Consultant
corndel
| Company | corndel |
| Category | Data & Analytics |
| Location | — |
| Remote | — |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 26 Mar 2026 |
| Last verified | 3 Aug 2026 |
| Source | Employer ATS (teamtailor) |
Description
Role: Data & AI Solutions Consultant Team: Solutions Location: Hybrid, with two days per week in Corndel’s London office. Package: Pension, Unlimited leave, Flexible working, Healthcare Cash Plan Salary: Competitive + Bonus About Corndel: At Corndel, we are redefining professional learning for the modern workplace. As the UK’s leading provider of leadership, data, and AI training, our mission is simple: to deliver brilliant training that transforms careers and drives organisational success. We believe that learning should be practical, personalised, and impactful—helping individuals and businesses thrive in a rapidly changing world. Our approach combines award-winning coaching, cutting-edge digital delivery, and world-class academic insight. Every programme is designed to blend technical capability with essential human skills, ensuring learners can apply knowledge immediately to create measurable results. We are proud to partner with Imperial College London, one of the world’s most prestigious universities, and to be supported by Microsoft. Corndel works with many of the UK’s leading employers, including FTSE 100 companies and public sector organisations, delivering programmes that are fully funded through the Apprenticeship Levy. The role: The Data & AI Solutions Consultant is a senior, highly consultative technical-commercial role within Corndel’s Solutions function. Reporting to the Director of Data & AI Solutions, you will spend the majority of your time working directly with clients to shape high quality Data & AI solutions that align to organisational strategy, capability needs and transformation priorities. You will act as a trusted advisor in Data, Digital & AI, helping clients navigate complex requirements and translating these into compelling, delivery-feasible solutions. You will ensure solution integrity, elevate the quality of proposals and strengthen Corndel’s positioning in major Data & AI opportunities. Alongside client-facing work, you will support enablement, opportunity prioritisation, and continuous improvement of our GTM approach, helping our New Client Acquisition and Account Management teams build confidence, capability and consistency when selling Data & AI solutions. You will also play a role in capturing and representing the voice of customer, ensuring market insight informs proposition evolution and sales strategy. This role is ideal for someone with deep Data/AI expertise, strong consultative capability and a passion for helping enterprise organisations build modern digital capability at scale. How Your Time Is Spent Client Solutions Lead senior-level Data, Digital and AI discovery conversations to understand organisational strategy, capability gaps and transformation priorities. Facilitate high‑quality solution design sessions with new and existing clients, shaping tailored pathways aligned to complex business needs. Act as a senior subject‑matter advisor, providing clarity, technical credibility and strategic guidance in client and executive conversations. Support high-quality proposal development by ensuring solution integrity, value articulation and technical accuracy. Represent Corndel externally at select events, roundtables and industry forums that support client engagement and strengthen technical authority. Strategy & Enablement Conduct structured competitor and market analysis, identifying strengths, weaknesses and differentiation opportunities in our Data & AI positioning. Partner with the Director of Data & AI Solutions and sales teams to ensure opportunity prioritisation, focusing energy on the highest-value, highest-potential prospects. Provide targeted “1‑to‑few” enablement to NCA and Account Management — including discovery coaching, value articulation workshops, use‑case analysis and technical buyer engagement strategies. Coach colleagues on
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