Base: $240,000 to $320,000 usd; bonus/equity: subs...
Build and scale d&a organizations
Drive ai transformation in analytics
Lead director-level leaders
The opportunity is to take a strong foundation — a talented team, rich data assets, and a product portfolio that reaches hundreds of millions of people — and build the operating model, partnerships, and infrastructure that let D&A operate as a true strategic partner to the business
Job Summary
The opportunity is to take a strong foundation — a talented team, rich data assets, and a product portfolio that reaches hundreds of millions of people — and build the operating model, partnerships, and infrastructure that let D&A operate as a true strategic partner to the business.
We are looking for a leader who doesn't just understand this shift but is eager to drive it.
This role reports into the Chief Product and Technology Officer and manages director-level leaders across Product Analytics, Data Science, and Analytics Engineering.
Matching Summary
The opportunity is to take a strong foundation — a talented team, rich data assets, and a product portfolio that reaches hundreds of millions of people — and build the operating model, partnerships, and infrastructure that let D&A operate as a true strategic partner to the business.
Salary
Base: $240,000 to $320,000 USD; Bonus/Equity: substantial annual performance bonus and significant equity ownership; Benefits: comprehensive benefits package
Skills & Requirements
Must-have
build and scale D&A organizations
drive AI transformation in analytics
lead director-level leaders
own data governance strategy
lead opportunity sizing and strategic planning
executive-level communication
Nice-to-have
passion and perseverance
bias toward speed and pragmatic sequencing
cultural and operational change
holistic approach to compensation
invest in people development
Key Requirements
15+ years in analytics, data science, or related discipline
5+ years leading D&A organization at VP level or equivalent
Experience in high-velocity product environments
Fluency across Product Analytics and Data Science
Familiarity with analytics engineering fundamentals
Deep experience with experimentation
Experience at consumer subscription or media company