[Hiring] Senior Manager, Marketing Decision Science @Instacart

Role Description

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. 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.

• Lead and develop a team of 5 Decision Scientists and Marketing Analysts, owning their performance, growth, and day-to-day direction.
• 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.
• 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.
• Define and drive the Marketing Decision Science roadmap in partnership with the Director.
• 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.
• Anticipate stakeholder needs and surface proactive insights.

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.
• 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.

Requirements

• 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.

Benefits

• Highly market-competitive compensation and benefits.
• Remote work flexibility under the Flex First policy.
• Eligible for a new hire equity grant as well as annual refresh grants.