Head of Marketing Intelligence

Beam Organics•New York, NY

6d•Hybrid

About The Position

We are looking for a Head of Marketing Intelligence to serve as the owner of our measurement ecosystem and the ultimate arbiter of truth for our marketing efficiency. Reporting to the Chief Growth Officer (CGO), you will lead the evolution of our measurement framework from current attribution to a sophisticated, AI-driven engine that captures the "omnichannel halo." You will work to determine the true incrementality of every dollar spent across D2C, Amazon, and Retail, ensuring that our investments in creator-led commerce and traditional media are optimized for long-term profitability and enterprise scale.

Requirements

12+ years in marketing analytics or marketing science, with deep experience in advanced measurement organizations or high-growth D2C brands.
Proven track record of solving the "attribution puzzle" for brands with complex distribution across D2C, marketplaces, and big-box retail.
Proficient in SQL, Python, or R, with hands-on experience building and deploying MMM and incrementality frameworks.
You know how to leverage AI to solve complex marketing problems and streamline intelligence operations.
Understand that a model is only as good as the action it inspires.
Executive presence to influence a $100M+ P&L.
"Player-coach" mindset to dive into the data yourself.

Responsibilities

Define the Measurement Roadmap: Establish the vision for quantifying the effectiveness of all media, sponsorships, and partnerships.
Integrate Social Commerce: Act as the chief architect for quantifying creator marketing, ensuring TikTok Shop, Podcast, and Influencer efforts are recognized as essential infrastructure within our Marketing Mix Model (MMM).
The "Halo" Authority: Develop the frameworks to measure how D2C spend (Paid Social, Search, TV/CTV) drives velocity in Amazon and physical retail.
Advanced Methodology: Implement and oversee a robust balance of MMM, Multi-Touch Attribution (MTA), and Causal Inference, deploying experimentation and hold-out tests to validate marginal ROI.
Retail Media Strategy: Leverage "clean-room" solutions (e.g., Amazon Marketing Cloud) to connect upper-funnel media exposure to bottom-funnel marketplace conversions.
Intelligent Infrastructure: Identify and deploy AI/ML capabilities to automate high-frequency reporting and move the organization toward predictive analytics.
Bias-to-Action Dashboards: Build and manage self-service visualization tools (Tableau, Looker) that translate complex statistical outputs into simple, actionable recommendations for Growth and Creative teams.
The "Translator" Role: Bridge the gap between Data, Finance, and Creative/Growth teams, turning raw data into creative briefs and investment shifts.
Talent Development: Build and lead a high-performing Marketing Science team, fostering a culture of extreme curiosity and technical rigor.