Our client specialises in data consulting and AI-driven transformation, working with organisations across the globe to turn data into measurable business impact, creating real change in how businesses operate, compete, and grow.
They are technology-agnostic but technology-deep and hold premium partnerships with the platforms shaping this industry, including Google, Anthropic, OpenAI, Databricks, and AWS and their teams bring together AI specialists, data scientists, data engineers, and digital experts for client-positive outcomes.
They work across a broad range of industries, including Retail Banking, Insurance, Private Equity, Energy & Utilities, Retail & E-commerce, CPG & FMCG and their engagements run end to end, from strategy and governance through to delivery of high value data and AI solutions.
As a Director of AI and ML you will operate at the intersection of AI and data strategy, client leadership, and commercial growth, you will own the AI and data agenda across a portfolio of clients, with Tech Leads and Managers reporting to you and running the day-to-day delivery of the engagements within it.
This is a role for someone who is equally comfortable shaping a client’s AI strategy at board level and building the playbook that lets Artefact deliver it again, better, for the next client.
The kind of person this works for…..
The Director role is for people who have already proven they can lead AI and data engagements and manage senior talent, and who are ready to be accountable for a portfolio of clients, a library of reusable solutions, and the technology leads who deliver against both. It is a step-change in scope, not just seniority. What we’re looking for:
Around 10+ years of experience leading AI and data projects, with a strong, specific track record of delivering measurable business value for clients, ideally including several years spent working with consulting and technical teams together.
Deep expertise across AI technologies, machine learning, data analytics, and data management, paired with a strong understanding of AI and ML, data infrastructure and architecture, including data warehousing, and cloud-based solutions, so you can move fluidly between the strategic and the technical.
A track record you can speak to specifically, including engagements you have delivered, accounts you have grown, and pitches you have led.