Sr. Director, Enterprise Measurement

Nutrafol

4d•Remote

About The Position

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.

Requirements

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

Nice To Haves

Marketing measurement expertise (attribution, incrementality, CAC/LTV)
Experience supporting AOP, OKRs, and long-range planning

Responsibilities

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