Marketing Science Director

Posted Yesterday
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New York, NY, USA
In-Office
162K-180K Annually
Mid level
Digital Media • News + Entertainment
The Role
Lead development of advanced measurement frameworks and a proprietary measurement ecosystem; partner with Sales, agencies, and brands to design causal experiments, MMM, identity/privacy solutions, and scalable measurement products while managing vendor governance and enabling commercial adoption.
Summary Generated by Built In
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.
Compensation and Benefits

The expected range for this role is $162,000 - $180,000

  • Uncapped leave, because we trust you to manage your workload and time
  • When we hit our targets, enjoy a share of our profits with a bonus
  • Refer a friend and get rewarded when they join Future
  • Well-being support with access to our Colleague Assistant Programs
  • Opportunity to purchase shares in Future with our Share Incentive Plan

Internal job family level Commercial 2

This is a hybrid role from our New York office, working three days from the office and two from home.

Diversity and Inclusion

Diversity is central to who we are. We believe different perspectives spark new ideas, fuel creativity, and drive innovation. That's why we're committed to building an inclusive workplace where everyone feels valued, respected, and empowered to succeed.

We're dedicated to fair and inclusive hiring practices and welcome talent from all backgrounds, because diverse teams build stronger futures.

Please let us know if you need any reasonable adjustments. 

#LI-Hybrid

Skills Required

  • 4+ years in Marketing Science, Ad Analytics, or Attribution within a digital publisher, advanced measurement vendor, or quantitative media agency.
  • Proficiency in SQL and data visualization tools.
  • Strong practical knowledge of MTA, Geo-testing, MMM, platform attribution algorithms (Meta, Google, DV360), and modern Data Clean Rooms.
  • Experience designing and evaluating causal experimentation (Geo-lifts, split-market holdouts, randomized controlled trials).
  • Experience owning identity and privacy engineering roadmaps (MAIDs, cookieless identifiers, first-party pixels, privacy compliance).
  • 2+ years presenting complex data methodologies directly to brands and agencies and translating technical frameworks into commercial stories.
  • Vendor & commercial governance experience including technical onboarding and benchmarking third-party measurement vendors.
  • Bachelor's degree in a quantitative field (Economics, Statistics, Data Science, etc.).
  • Hands-on experience with Python or R for custom statistical analysis.
  • Master's or PhD in Econometrics or Applied Statistics.
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The Company
HQ: Bath
3,652 Employees
Year Founded: 1985

What We Do

We are Future. The global platform for specialist media. We create expert original content that connects people to their passions across a portfolio of over 230 phenomenal brands. Through our websites, magazines, events, and social spaces we reach 1 in 3 adults online in the UK and the US. Founded in 1985, we have grown significantly to a global business with over 3,000 colleagues. We are the largest magazine publisher in the UK with a combined circulation of more than 3 million across our publications. We innovate through our proprietary technology, diversify our audiences across new platforms, and acquire and launch new brands every year. We’ve got an ambitious plan to build on our growth momentum and unlock new opportunities. We’re connectors, creators, experience makers

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