Senior Manager, Marketing Decision Science

Canada - Remote (ON, AB, BC, or NS Only) · Remote · CAD 198,000-209,000 / year · 3+ years experience · Full-time · Remote · Posted Sep 28, 2026

At a glance

Instacart is looking for a Senior Manager to lead the Marketing Decision Science team consisting of Decision Scientists embedded across Paid Media, SEO, and Retailer Marketing.
This high-visibility role involves direct exposure to marketing leadership and regular presence in senior forums such as MBRs, SBRs, and Pacing Meetings.
The role reports to the Director of Marketing Data Science & Analytics and owns paid channel analytics, incrementality testing, goal-setting, LTV-based optimization, and measurement roadmaps.

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 including 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 covering MMM, incrementality testing, LTV, and MTA.
Drive re-goaling, rebasing, and scenario modeling exercises that directly inform marketing budget allocation.
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, 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.

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
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

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