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Sr. Director, Enterprise Measurement

Job in Bozeman, Gallatin County, Montana, 59715, USA
Listing for: Unilever
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

We’re a growing company. Everything we do, we do to help people grow into the best version of themselves. As the pioneers of hair wellness, we create clinically tested products for hair growth and provide support for people at every step of their hair journey.

Our multi-factorial approach targets key root causes of hair thinning using a patented blend of standardized vitamins, minerals and natural ingredients – and is recommended by over 7,500 physicians and hair professionals for trusted, reliable results. We never settle, and are continuously challenging existing treatments and methodologies to advance the frontier of hair science. As we help our customers grow, we grow too – by embracing individuality and differences, leading by example, and empowering ourselves and others with our passion for wellness and innovation.

Keep growing. It’s our mantra. Our commitment to helping anybody and everybody committed to realizing their own potential to grow.

About You

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.

Responsibilities Enterprise Measurement & Strategy
  • 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
Metric Governance & Accountability
  • 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
Decision Systems & Insights
  • 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
Measurement Products & Innovation
  • 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
What Success Looks Like
  • Metric definitions are standardized, governed, and…
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