Senior Manager, Marketing Decision Science

Overview

Overview The Marketing Data Science & Analytics (MDSA) team is Instacart's analytical engine for Paid Media, SEO, and Retailer Marketing — partnering with channel leaders, Finance, and senior marketing leadership to ensure every investment dollar is guided by rigorous, causal measurement. The team owns paid channel analytics, incrementality testing, goal-setting and pacing, LTV-based optimization, and a marketing measurement roadmap anchored on Media Mix Modeling, Experiments, LTV & Touchpoints — Instacart's evolving single source of truth for marketing impact. We're looking for a Senior Manager to lead the Marketing Decision Science team — a group of Decision Scientists embedded across Paid Media, SEO, and Retailer Marketing. This is a high-visibility role with direct exposure to marketing leadership and regular presence in senior forums including MBRs, SBRs, and Pacing Meetings. This role reports to the Director of Marketing Data Science & Analytics. About the Job • Lead and develop a team of 5 Decision Scientists and Marketing Analysts, owning their performance, growth, and day-to-day direction — setting and enforcing a high quality bar across all team output • Own the end-to-end delivery of MDSA's paid marketing analytics workstreams: channel-level goal-setting, pacing, incrementality testing, acquisition and retention analysis, and Retailer Marketing measurement • Lead the team's contribution to the unified marketing measurement framework - MMM, incrementality testing, LTV, MTA — coordinating MMM inputs, incrementality test organization, and reporting • Drive re-goaling, rebasing, and scenario modeling exercises that directly inform how Instacart allocates its marketing budget • Serve as the primary analytical point of contact for senior marketing leadership and Finance — owning those relationships independently and representing MDSA in MBRs, SBRs, and Pacing Meetings • Define and drive the Marketing Decision Science roadmap in partnership with the Director, translating business priorities into sequenced analytical investments • Partner with Marketing Data Science on Measurement architecture, LTV modeling, and measurement infrastructure • Identify opportunities to improve analytical self-serve and reduce recurring reporting burden through tooling and automation • Build team capacity and coverage plans proactively, including across periods of reduced availability • Anticipate stakeholder needs and surface proactive insights — not just reactive analysis About You Minimum Qualifications • 8+ years in data science, analytics, or a quantitative function; 3+ years managing teams of analysts or decision scientists • Deep expertise in paid marketing measurement: incrementality testing, marketing mix modeling, attribution, LTV-based optimization, and channel-level performance analytics • Strong SQL and data fluency; comfort working directly in data to validate and pressure-test team output • Proven ability to independently own senior cross-functional relationships and represent a data science function in leadership forums without requiring escalation • Track record of translating complex analyses into clear investment recommendations for non-technical audiences • Experience managing and developing Decision Scientists or Marketing Analysts with a high bar for quality and direct feedback delivery Preferred Qualifications • Experience at a consumer-facing marketplace or high-growth technology company • Familiarity with geo-experimentation, Bayesian methods, or causal inference frameworks • Experience with LTV-based media optimization and budget allocation modeling • Background in building or overhauling channel-level reporting and pacing infrastructure #LI-Remote Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia. Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here. For Canadian based candidates, the base pay ranges for a successful candidate are listed below. CAN $198,000 — $209,000 CAD

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