Senior Director of Enterprise Measurement, Nutrafol

• 10–15+ years of experience in analytics, measurement, or data strategy roles, with a progression into senior leadership
• Background in eCommerce is required; D2C, subscription, or multi-channel business experience (eCommerce, Amazon, retail, B2B) is preferred
• Experience across modern analytics ecosystems, including BI tools (e.g., Tableau, Looker, Power BI), marketing and product analytics platforms (e.g., CDPs, attribution, experimentation), and emerging capabilities (automation, self-serve, AI), with a focus on moving beyond dashboard-centric reporting
• 6+ years of people management experience, including hiring, coaching, and succession planning
• Strategic and systems-oriented, able to connect business goals to measurement design
• Proven experience establishing measurement frameworks and governance in environments lacking standardization
• Demonstrated ability to drive adoption and enforce standards across cross-functional stakeholders
• Experienced in analytics, measurement, or data strategy in a high-growth environment
• Strong executive communicator who simplifies complexity into clear action
• Proven ability to influence senior stakeholders and drive alignment
• Skilled in KPI design, experimentation, and performance diagnostics
• Experience introducing modern analytics capabilities that improve speed and accessibility of insights
• Comfortable building structure in ambiguous environments

Desirable

• We are seeking a Senior Director, Enterprise Measurement to define and lead how performance is measured across the business
• This role defines both what we measure and how measurement is experienced, ensuring our approach is modern, scalable, and embedded into how decisions are made
• This role is part of the Enterprise Measurement Center of Excellence and operates at the intersection of strategy, analytics, and execution, aligning Analytics, Finance, Marketing, Product, and Operations around a shared measurement approach
• You will elevate measurement maturity across the organization through clear standards, governance, and enablement, and drive adoption through influence rather than authority
• This role is critical to establishing enterprise-level measurement rigor, formalizing metric governance, and improving the speed, clarity, and accessibility of insights across the organization
• Success requires moving beyond dashboards to build measurement systems that shape how the organization prioritizes investments, evaluates performance, and drives growth
• You’ll report into the SVP, Enterprise Measurement & Business Management, and will oversee a team of three across Business Intelligence
• Define and maintain north star metrics and KPI hierarchies across the business
• Establish standardized measurement frameworks for key initiatives (growth, retention, product, channels)
• Partner with leadership to translate business goals into clear success metrics, guardrails, and OKR alignment
• Require that all major initiatives are defined by clear success metrics, KPI structures, and measurement plans prior to execution
• Establish and enforce enterprise metric governance, including ownership, definitions, and change management
• Define clear accountability for metric integrity across teams and systems
• Serve as the central authority for metric definitions and measurement standards across the organization
• Ensure consistent application of metric definitions across reporting, planning, and decision-making
• Design measurement outputs for decisions, not just visibility
• Build KPI trees and diagnostic frameworks that enable root-cause analysis and action
• Translate performance into clear narratives, tradeoffs, and recommendations for leadership
• Reduce reliance on custom analysis through reusable frameworks and standardized logic
• Partner closely with Data Engineering leadership to align measurement frameworks with underlying data architecture and platform capabilities
• Ensure measurement frameworks are embedded into core data models and systems
• Shift the organization away from dashboard-centric reporting toward faster, more dynamic insight delivery
• Partner on the adoption of modern technologies (AI, automation, self-serve interfaces) to improve speed and accessibility of insights
• Ensure measurement use cases are clearly defined and prioritized to inform technology investments
• Introduce self-serve measurement experiences that minimize reliance on analyst-driven workflows
• Metric definitions are standardized, governed, and consistently used across teams
• Clear ownership and accountability exists for all core business metrics
• Leadership aligns on success metrics before initiatives launch, not after results are in
• Time to insight is materially reduced through automation and improved measurement delivery
• The organization shifts from reactive reporting to proactive, decision-driven insights
• Analytics teams spend less time on custom builds and more time on high-impact analysis