Senior Director of Marketing Analytics, Nutrafol

• 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

Desirable

• Nutrafol is seeking a Senior Director, Marketing Analytics & Data Science to bring senior measurement leadership and advanced modeling capability to our marketing analytics function
• This role partners with an established marketing analytics team that is actively driving the strategy, roadmap, and cross-functional unification of measurement across brand, growth, and retention
• We're looking for a senior measurement leader with hands-on data science depth to support and elevate an established marketing analytics team
• The team owns strategy, roadmap, and cross-functional measurement — you bring technical rigor, modeling depth, and outside experience to accelerate their work
• 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
• What success looks like:
• Own the strategy for MTA revamp, including implementation, validation, and trust — with clear reconciliation against MMM and incrementality
• Ensures measurement rigor is visibly elevated across the portfolio
• Introduce and test AI and modern analytics platforms to improve overall capabilities and measurement effectiveness
• Manage methodological choices, ensuring they’re well-documented, defensible, and trusted by business stakeholders