Director, Marketing Science

About Measured Measured is the pioneer and leader of incrementality-based media measurement and optimization. Since 2017, leading brands have used our AI-powered, all-in-one platform to manage, test, plan, and optimize over $35 billion in full-funnel media investments. Measured’s unique combination of automated experimentation, media mix modeling, and industry-leading expertise helps marketers prove the incremental impact of their advertising and maximize ROI with unmatched ease, accuracy, and efficiency. The Role Measured is seeking a Director of Marketing Science: a n expert in marketing measurement and incrementality who builds the systems and provides the expertise that let a small team, amplified by AI, deliver measurement quality at scale across our entire client base. This is a hands-on, non-dedicated role. You will not be assigned a book of accounts. Instead, you will build the automation and set the standards that lift every model, and step in on the hardest measurement problems as the senior expert. You bring holistic command of the Marketing Science range: geo-based incrementality experimentation, agile mix modeling for marketing and business analytics, and cross-channel planning and optimization. This role places particular emphasis on enterprise planning and optimization, helping brands turn incrementality into cross-channel budget decisions, while drawing on the full measurement toolkit to do it well. Marketing Science sits between Data Science and Customer Success. We manage the modeling systems Data Science builds, explain how results are produced and what they mean, and build the tooling that lets us do both at scale. A central objective of this role is to apply AI to solve complex measurement and planning questions systematically, so that solutions compound into repeatable capability rather than one-off answers. The role operates in three modes: build the AI-driven automation that handles the first pass at scale; own and continuously shrink the model-management and planning queue; and support client teams by exception, routed through Customer Success, as the senior measurement voice, escalating only genuinely novel work to Data Science. At Measured, we equip every team member with best-in-class technology to fuel extraordinary outcomes. We expect our team to continuously evolve alongside these tools, using AI as a partner for momentum and innovation — raising the bar on everything we build. Our people own the final voice, judgment, and accountability behind every deliverable. Requirements Key Responsibilities Build AI-Powered Automation and Agentic Workflows Build scalable, AI-driven solutions across the Marketing Science range: geo-based incrementality experimentation, agile mix modeling, cross-channel planning and optimization, and model-health monitoring. Design and ship agentic workflows for first-pass diagnosis, plan generation, model management, and insight generation, built in partnership with Data Science and Product rather than in isolation. Replace manual, labor-intensive processes with automation that holds up under scale, and codify recurring solutions into repeatable, reusable capability rather than one-off answers. Prototype and build with modern AI tooling (LLMs, Claude Cowork, Claude Code, and similar). Apply the Full Measurement Toolkit, with a Focus on Enterprise Planning and Optimization Bring depth across geo-based incrementality testing and agile mix modeling, applying the right method to answer the marketing and business-analytics questions clients actually face. Focus in particular on enterprise planning and optimization: translate incrementality-based response curves, saturation, and marginal returns into cross-channel budget plans clients can act on. Build and scale the automation behind planning workflows, including scenario simulation, constraint setting, and tie-out to committed budgets, so enterprise-grade planning becomes repeatable rather than bespoke. Serve as the senior resour