Senior Manager leading marketing decision science for Instacart’s grocery delivery marketplace. Directing paid marketing measurement, budget modeling, and a team of five decision scientists and analysts.
Responsibilities
Lead and develop a team of 5 Decision Scientists and Marketing Analysts, owning performance, growth, and day-to-day direction
Own end-to-end delivery of paid marketing analytics workstreams, including channel-level goal-setting, pacing, incrementality testing, acquisition and retention analysis, and Retailer Marketing measurement
Lead contributions to the unified marketing measurement framework, including MMM, incrementality testing, LTV, and MTA
Drive re-goaling, rebasing, and scenario modeling to inform marketing budget allocation
Serve as primary analytical point of contact for senior marketing leadership and Finance
Represent MDSA in MBRs, SBRs, and Pacing Meetings
Define and drive the Marketing Decision Science roadmap with the Director
Partner with Marketing Data Science on measurement architecture, LTV modeling, and measurement infrastructure
Improve analytical self-serve and reduce recurring reporting through tooling and automation
Build team capacity and coverage plans
Anticipate stakeholder needs and surface proactive insights
Requirements
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, including incrementality testing, marketing mix modeling, attribution, LTV-based optimization, and channel-level performance analytics
Strong SQL and data fluency
Ability to independently own senior cross-functional relationships and represent a data science function in leadership forums
Ability to translate 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: experience at a consumer-facing marketplace or high-growth technology company
Preferred: familiarity with geo-experimentation, Bayesian methods, or causal inference frameworks
Preferred: experience with LTV-based media optimization and budget allocation modeling
Preferred: background in building or overhauling channel-level reporting and pacing infrastructure
Benefits
New hire equity grant
Annual refresh grants
Flexible choice of work location (home, office, or coffee shop)
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