Senior Manager, Marketing Decision Science

Remote · 3+ years experience · Full-time · Remote · Posted Sep 28, 2026

At a glance

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.

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

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

Employees have the flexibility to choose where they do their best work—whether from home, an office, or a coffee shop