Senior Manager, Marketing Decision Science

Instacart is a grocery technology company that provides grocery delivery and flexible earning opportunities for personal shoppers. The Senior Manager, Marketing Decision Science will lead a team supporting paid media, SEO, and retailer marketing through measurement, experimentation, analytics, budget modeling, and strategic insights for senior marketing and Finance leadership.

Responsibilities:

• 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

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: 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
• 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