Job Description
- Lead the end-to-end Marketing Mix Modeling (MMM) program. Serve as the primary owner of the relationship with external measurement partners, ensuring they have high-quality data inputs and that their models deliver actionable, integrated insights to rebalance our media spend.
- Define and operationalize performance KPIs, marketing dashboards, and multi-touch attribution (MTA) frameworks that quantify ROI and inform real-time campaign optimization.
- Lead the configuration and health of our tracking stack, specifically Google Analytics 4 (GA4), Google Tag Manager (GTM) and our Mobile Measurement Partners (MMP) (e.g., AppsFlyer).
- Serve as the strategic bridge between BI, Product, and Engineering to ensure marketing channel data connections and flows are established, maintained, and accurately supervised.
- Design and execute a "Test-and-Learn" roadmap, focusing on incrementality testing and lift studies to validate and "ground-truth" our MMM and attribution outputs.
- Lead the evolution of our measurement toward privacy-safe environments, utilizing Data Clean Rooms, cross-platform identity solutions, and server-side tracking.
- Distill complex econometric data into clear narratives for senior leadership, providing the "So-What" that drives high-level media investment strategy and annual planning.
- 7+ years in Marketing Analytics or Performance Measurement experience, preferably within a data-driven or subscription-based business.
- Previous hands-on experience managing an MMM program, either from the brand side (managing a partner) or the agency side (building the models).
- Proven ability to manage complex vendor relationships and hold technical partners accountable for data accuracy and deadlines.
- Hands-on expertise with GA4, MMPs, and the Google Marketing Platform. You should understand how pixels, CAPI, and SDKs work under the hood.
- Strong understanding of Subscription Economics (LTV, CAC, Churn) and how to align marketing measurement with long-term business profitability.
- Strong analytical and quantitative skills; fluency with BI tools like Tableau, Looker, or Power BI is essential.
- Outstanding interpersonal skills, with a shown ability to translate complex technical topics for non-technical collaborators.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.