Description
We're transforming the grocery industry at Instacart, a company that enables customers to order groceries and household goods online and have them delivered to their doorstep.
The Marketing Data Science & Analytics (MDSA) team is Instacart's analytical engine for Paid Media, SEO, and Retailer Marketing. We're looking for a Senior Manager to lead the Marketing Decision Science team, which is a group of Decision Scientists embedded across Paid Media, SEO, and Retailer Marketing.
Responsibilities
- 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.
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.
- 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.
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.
Compensation and Benefits
- Highly market-competitive compensation.
- Eligible for a new hire equity grant and annual refresh grants.
- Base pay range: $202,000 - $255,500 USD depending on location.