Leads a 30-person media analytics team for Instacart Ads, owning strategy, measurement standards (MMM, attribution, causal inference), and insights driving advertiser investment. Requires 12+ years experience, advanced SQL/Python/R, bachelor's in quantitative field, and expertise influencing CPG stakeholders.
About the role
Responsibilities
- Own the end-to-end media analytics strategy and roadmap for Instacart Ads, establishing trusted measurement standards that quantify incrementality, optimize performance, and inform advertiser investment decisions.
- Lead, develop, and scale a ~30-person team (including managers and senior ICs) across client analytics, measurement science, experimentation, and commercialization; attract top talent and foster an inclusive, high-performing culture.
- Build and standardize frameworks for causal inference, geo and audience experiments, MMM, attribution, creative effectiveness, and audience insights; partner with Ads R&D and Data Science to productionize models and reporting at scale.
- Collaborate with Brand Partnerships and Sales to deliver compelling, client-ready narratives that translate complex analytics into clear business impact, driving increased advertiser investment.
- Establish data governance, quality, and privacy-safe measurement practices; represent Instacart with industry bodies to advance retail media standards and third-party interoperability.
- Define and manage OKRs, operating cadences, resourcing, and prioritization across a portfolio of analytics initiatives, focusing the team on the highest-impact work.
- Lead third-party measurement partnerships (e.g., MMM providers, clean rooms) and integrate them with Instacart’s first-party capabilities to deliver holistic, actionable insights.
Minimum Qualifications
- 12+ years of experience in media analytics, marketing science, or ad measurement within digital advertising or retail media.
- 7+ years leading analytics teams of 15+ (including managers of managers), with a track record of hiring, developing, and retaining diverse, high-performing talent.
- Expertise in incrementality testing and causal inference, experimental design, MMM, and attribution, with programs deployed at enterprise scale.
- Advanced SQL and proficiency in Python or R; demonstrated ability to review methodologies, validate models, and uphold analytic rigor.
- Bachelor’s degree in a quantitative field (e.g., Statistics, Economics, Mathematics, Computer Science, Engineering) and proven experience influencing C-suite stakeholders at large advertisers (e.g., CPGs) to drive investment decisions.
Preferred Qualifications
- Graduate degree (MS, MBA, or PhD) in statistics, econometrics, data science, or a related quantitative discipline.
- Experience at a retail media network, major ad platform, or enterprise CPG/agency leading large-scale analytics and measurement programs.
- Hands-on experience with privacy-safe measurement and clean rooms (e.g., AWS Clean Rooms, Snowflake, Databricks, LiveRamp Safe Haven) and identity solutions.
- Proven success evaluating and integrating third-party MMM/attribution providers (e.g., Analytic Partners, Nielsen, Neustar) and reconciling with first-party signals.
- Engagement with industry bodies (e.g., IAB, ARF, MMA) and recognized thought leadership through standards work, publications, or conference speaking.
Compensation
Base pay ranges by location:
- CA, NY, CT, NJ: $299,000—$315,500 USD
- WA: $286,000—$302,000 USD
- OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI: $274,000—$289,000 USD
- All other states: $249,000—$263,000 USD
Eligible for equity grants.
Skills
SQLPythonRMmmAttributionCausal InferenceIncrementality TestingExperimental DesignClean RoomsMarketing Mix Modeling