Senior Manager, Marketing Decision Science

This is a fully remote position, open to applicants in Canada.

📋 Description

• Lead and develop a team of 5 Decision Scientists and Marketing Analysts, overseeing their performance, growth, and daily operations.

• Manage the complete delivery of paid marketing analytics workstreams, which includes setting channel-level goals, pacing, conducting incrementality tests, and analyzing acquisition and retention, as well as measuring Retailer Marketing.

• Contribute to the comprehensive marketing measurement framework, encompassing MMM, incrementality testing, LTV, and MTA.

• Facilitate re-goaling, rebasing, and scenario modeling to guide marketing budget distribution.

• Act as the primary analytical liaison for senior marketing leadership and Finance.

• Represent MDSA during MBRs, SBRs, and Pacing Meetings.

• Define and advance the Marketing Decision Science roadmap in collaboration with the Director.

• Collaborate with Marketing Data Science on measurement architecture, LTV modeling, and measurement infrastructure.

• Enhance analytical self-service capabilities and minimize recurring reporting through tools and automation.

• Develop team capacity and coverage strategies.

• Anticipate the needs of stakeholders and provide proactive insights.

⛳️ Requirements

• 8+ years of experience in data science, analytics, or a quantitative role.

• 3+ years of experience managing teams of analysts or decision scientists.

• Profound knowledge in paid marketing measurement, including incrementality testing, marketing mix modeling, attribution, LTV-based optimization, and channel-level performance analytics.

• Strong proficiency in SQL and a solid understanding of data.

• Capability to independently manage senior cross-functional relationships and represent a data science function in leadership discussions.

• Skill in translating complex analyses into clear investment recommendations for non-technical stakeholders.

• Experience in managing and mentoring Decision Scientists or Marketing Analysts with a strong emphasis on quality and direct feedback.

• Preferred: experience in a consumer-facing marketplace or a rapidly growing technology company.

• Preferred: familiarity with geo-experimentation, Bayesian methods, or causal inference frameworks.

• Preferred: experience with LTV-based media optimization and budget allocation modeling.

• Preferred: background in building or revamping channel-level reporting and pacing systems.

🏝️ Benefits

• New hire equity grant.

• Annual refresh grants.

• Flexible choice of work location (home, office, or coffee shop).

• Regular in-person events.

• Market-competitive compensation and benefits.