Marketing Science Director

Description
Description
We’re Future, a global leader in specialist media. Our 3,000+ employees power more than 200 trusted brands, helping millions of people discover expert content that informs, inspires, and drives action. Through our websites, magazines, events, newsletters, podcasts, and social channels, we connect passionate audiences with the topics they care about most.

You will develop advanced measurement frameworks beyond basic click-and-impression metrics. Your daily work involves building a proprietary measurement ecosystem tailored to modern data infrastructures. You will work closely with our sales teams and external agency partners. You will consult directly with brands to clearly define their success metrics. By translating complex data into accessible narratives, you will showcase true business growth. You will empower our internal teams to bring sophisticated, market-ready solutions to clients.

What You’ll Do
You will report into the VP, Commercial Product and Go To Market

Go-To-Market & Vendor Governance

Own the Measurement Narrative: Serve as the definitive technical voice for client and agency management, translating complex attribution frameworks into clear, high-impact business value.
Measurement as a Product: Treat measurement capabilities as a core commercial asset; partner with Sales to transform data insights into packaged media solutions that scale.
Sales Enablement & Decision Tree Design: Co-develop structured decision trees, FAQs, and frameworks to guide Sales and Sales Enablement teams on mapping the right measurement solutions to specific client goals.
Vendor & Commercial Governance: Manage the technical onboarding, benchmarking and financial efficiency of third-party measurement vendors to ensure contract costs directly fuel revenue growth.

Technical Methodologies & Data Science

Causal Experimentation: Guide the data science design, execution, and evaluation of advanced incrementality testing, establishing scientific rigor via Geo-lifts, split-market holdouts, and randomized controlled trials.
MMM Data Architecture: Systematically map and pipeline complex media exposure data to cleanly ingest into global agency holding companies and corporate Marketing Mix Models.
Identity & Privacy Engineering: Own the technical identity roadmap—navigating MAIDs, clean rooms, cookieless identifiers, and privacy compliance (CCPA/GDPR)—to ensure high-fidelity signal capture across the ad stack.

Product Innovation & 3-Year Vision

Close the Product Loop: Funnel behavioral, network, and creative insights directly back to Product Management to inform future core builds (acting as a key stakeholder for initiatives like the Product Manager Atelier).
Scale Multi-Product Frameworks: Design and execute sophisticated measurement for performance tools (e.g., Future Optic, Helix) while expanding capabilities across social, audio/podcasts, and lower-funnel iterations.
Architect the Proprietary Ecosystem: Oversee the 3-year migration from third-party dependencies to an in-house, full-stack ecosystem powered by first-party pixels, predictive models, and custom testing frameworks.

Experience That Will Put You Ahead Of The Curve
Experience: 4+ years in Marketing Science, Ad Analytics, or Attribution within a digital publisher, advanced measurement vendor, or quantitative media agency.
Agency Ecosystem Fluency: Deep understanding of major agency holding companies, their workflows, operational RACI matrix configurations, and media-planning vocabulary.
Measurement Mastery: Strong practical knowledge of MTA, Geo-testing, and MMM, alongside platform attribution algorithms (Meta, Google, DV360) and modern Data Clean Rooms.
Client-Facing Impact: 2+ years presenting complex data methodologies directly to brands and agencies, with a proven ability to turn technical frameworks into clear, commercial stories.
Technical Stack: Proficiency in SQL and data visualization tools. Hands-on experience with Python or R for custom statistical analysis is highly preferred.
Education: Bachelor’s degree in a quantitative field (Economics, Statistics, Data Science, etc.). A Master’s or PhD in Econometrics or Applied Statistics is a strong plus.