Director, AI & Data Science (Marketing Measurement & Effectiveness)

<p><strong>Who We Are</strong><br>Artefact is an applied AI company. We build systems that run in production, in our clients' own cloud, and keep running after we leave. 2,500+ people across 27 countries and 1,000 clients, including some of the largest consumer brands in the world. Not a strategy house that discovered AI eighteen months ago, and not a prototype shop that hands you something you will rebuild from scratch.</p> <p>Three ingredients make that possible, and very few firms have all three: the data, real and messy and at enterprise scale; an applied AI team that can put a model into a governed production environment; and the transformation muscle to make people actually use it.<br>Agentic AI lands on marketing before it lands anywhere else. Agents browse, compare and buy; clicks stop meaning what they meant; the shelf turns into an API. Every senior marketing and commerce leader we talk to is asking the same two questions — am I still visible, and can I still prove what worked — and almost nobody can answer them.</p> <p><strong>The Role</strong><br>We are hiring a Director to lead marketing measurement and effectiveness for our US client portfolio, starting with a large, in-flight measurement program for a major US financial services client.</p> <p>This is a player-coach role. You will own the methodology and the client relationship, lead a multi-workstream data science team, and stay close enough to the models to challenge assumptions, review code and unblock hard technical problems yourself. You will also help us productize what we build — turning measurement work into reusable accelerators and points of view that scale across accounts.</p> <p>You should be able to step into a live, complex measurement program quickly and earn credibility with senior client stakeholders in the first weeks, not the first quarter.</p> <p><strong>What You'll Do</strong><br>You will own the hardest question in marketing: what actually caused the sales. Marketing Mix Modeling, incrementality testing, geo-lift, attribution — for a brand where a few points of budget reallocation is worth more than most consulting engagements. You will do it as a hands-on scientist and as a trusted advisor to senior client stakeholders — both, not either.</p> <p><strong>Lead measurement programs</strong></p> <ul> <li>Own the design, execution and interpretation of marketing measurement programs: MMM, geo and incrementality testing, attribution, experimentation and marketing optimization.</li> <li>Own the statistical modeling architecture and the scientific rigor behind it — model specification, validation, calibration against live experimental results, honest treatment of uncertainty, and identification assumptions worked through with people who care as much as you do about getting them right.</li> <li>Adapt frameworks to messy commercial reality: long consideration cycles, CRM-driven demand, short flights, campaign overlap, brand and long-term effects, channel and regional constraints, and privacy-constrained measurement where the easy signal has disappeared.</li> <li>Translate model output into media investment, budget allocation and scenario-planning decisions the client can act on.</li> </ul> <p><strong>Own the outcome, not just the deliverable</strong></p> <ul> <li>Work in the client's environment from day zero and stay there after launch — no prototype handoffs. When something breaks in production, you're close enough to see it and fix it.</li> <li>Build and deploy GenAI and agentic applications into production that change how measurement gets done and consumed: automated model diagnostics, insight generation, analyst copilots, conversational access to measurement results.</li> <li&