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About the Role

Develop advanced measurement frameworks beyond basic click-and-impression metrics by building a proprietary measurement ecosystem tailored to modern data infrastructures. Consult directly with brands to define success metrics and showcase business growth by translating complex data into accessible narratives.

Responsibilities

• Serve as the definitive technical voice for client and agency management, translating complex attribution frameworks into clear, high-impact business value.
• Treat measurement capabilities as a core commercial asset; partner with Sales to transform data insights into packaged media solutions that scale.
• 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.
• Manage the technical onboarding, benchmarking and financial efficiency of third-party measurement vendors to ensure contract costs directly fuel revenue growth.
• 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.
• Systematically map and pipeline complex media exposure data to cleanly ingest into global agency holding companies and corporate Marketing Mix Models.
• 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.
• Funnel behavioral, network, and creative insights directly back to Product Management to inform future core builds.
• Design and execute sophisticated measurement for performance tools while expanding capabilities across social, audio/podcasts, and lower-funnel iterations.
• 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.

Requirements

• 4+ years in Marketing Science, Ad Analytics, or Attribution within a digital publisher, advanced measurement vendor, or quantitative media agency.
• Deep understanding of major agency holding companies, their workflows, operational RACI matrix configurations, and media-planning vocabulary.
• Strong practical knowledge of MTA, Geo-testing, and MMM, alongside platform attribution algorithms (Meta, Google, DV360) and modern Data Clean Rooms.
• 2+ years presenting complex data methodologies directly to brands and agencies, with a proven ability to turn technical frameworks into clear, commercial stories.
• Proficiency in SQL and data visualization tools.
• Hands-on experience with Python or R for custom statistical analysis is highly preferred.
• 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.

Skills

• SQL
• Data visualization tools
• Python
• R
• Marketing Science
• Ad Analytics
• Attribution
• MTA
• Geo-testing
• MMM
• Platform attribution algorithms
• Data Clean Rooms
• CCPA/GDPR compliance

Location

• New York

Work Type

• Hybrid

Experience Level

• 4+ years

Education Level

• Bachelor's degree in a quantitative field
• Master's or PhD in Econometrics or Applied Statistics

Salary/Compensations

• $162,000 - $180,000

Benefits

• Uncapped leave
• Bonus
• Refer a friend reward
• Well-being support
• Share Incentive Plan

About the Company

• Future is a global leader in specialist media with over 3,000 employees powering more than 200 trusted brands.
• We help millions of people discover expert content that informs, inspires, and drives action through various platforms including websites, magazines, events, newsletters, podcasts, and social channels.

Equal Opportunity

• Diversity is central to who we are. We believe different perspectives spark new ideas, fuel creativity, and drive innovation.
• 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.