Responsibilities

• Measurement & modeling — provide senior support across the full portfolio: MMM, MTA, incrementality testing, website analytics, CM360 reporting, and growth journey analytics. Lead the technical implementation of MTA 2.0, partnering with the team that owns strategy and roadmap.
• Methodology & rigor — pressure-test assumptions, validate outputs, and guide reconciliation across measurement approaches so stakeholders know which signal to trust for which decision. Bring clarity to complex methodological questions, including privacy-resilient measurement.
• AI & advanced analytics — apply ML, statistical modeling, and AI (including LLM-based workflows and modeled conversions) to improve measurement quality, speed, and scalability.
• Mentorship — develop team members on measurement craft, modeling depth, and data science methods. Build advanced analytics capability within the function over time.
• Cross Functional Communication — translate technical measurement outputs into clear language for marketing, finance, and executive audiences. Support the team's credibility in cross-functional forums.

Requirements

• 10+ years of experience in marketing analytics and measurement roles, with significant time in senior positions
• Deep expertise across MMM, multi-touch attribution, incrementality testing, website analytics, and growth/funnel analytics
• Hands-on background building or leading MMM and MTA models — with depth to implement, not just oversee
• Strong data science foundation: regression, Bayesian methods, time-series, and ML applied to marketing measurement
• Applied AI experience in marketing analytics — LLM-based workflows, modeled conversions, or measurement automation
• Proficiency in SQL and Python (or R); familiarity with GA4, CM360, and BI tools
• Experience mentoring analytics talent across measurement and data science
• eCommerce background required; DTC/subscription, and multi-channel experience strongly preferred
• Strong communicator; ability to influence cross-functional teams and Leaders across the organization
• Comfortable as a senior partner supporting a team that owns strategic direction

Nice to have

• Experience applying generative AI or LLMs to analytics workflows (insight generation, automation, self-serve)
• Hands-on knowledge of privacy-resilient measurement approaches (server-side tracking, modeled conversions, data clean rooms)
• Familiarity with modern data stack tools (Snowflake, BigQuery, dbt) and BI platforms (Looker, Tableau, Power BI)

Benefits

• Fully remote work experience
• Comprehensive medical, dental, and vision package, including FSA program
• 401K with employer match
• Quarterly Bonus Program
• Flexible PTO
• Two company-wide wellness breaks every day
• Free lunch on us every Tuesday and Thursday via Seamless/Grubhub
• Monthly wellness stipend
• Monthly internet stipend
• Monthly cell phone stipend
• Annual learning & development stipend
• Free meditation app membership (Headspace)
• Free Nutrafol subscription
• Pet insurance discounts and benefits