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VP Freight Analytics & Advisory

Leads freight analytics strategy, serves as data authority for customers and internal teams, builds and scales analytics advisory team. Requires 15+ years in freight pricing/analytics, quantitative expertise, and C-suite engagement skills.

218k – 285kUnited StatesExecutive LeadershipRemote15+ YOE

About the role

What You’ll Do

Market Intelligence

  • Serve as external spokesperson and internal authority on freight market methodology
  • Share expertise and feedback with product and data science teams; provide escalation on hard analytical questions

Strategic Vision

  • Partner closely with product team to translate market and customer insights into priorities that deliver value for our customers
  • Develop and champion our vision, and inspire action across cross-functional teams to execute to it

Customer Ownership

  • Own and deepen relationships with pricing and analytics leadership at enterprise customers
  • Navigate complex, high-scale enterprise contracts in partnership with our sales team
  • Build and chair a broker-focused Analytics Customer Advisory Board (CAB)

Team Leadership

  • Hire and lead a team of analysts; scale consulting and advisory services to broker customers
  • Partner closely with Sales and the iQ product team on go-to-market and roadmap

The Skills and Experience You’ll Bring

  • Freight pricing or analytics background: 15+ years pricing or analytics experience in brokerage, procurement, or both; speaks the customer’s language from the inside
  • Team builder: has designed, hired, and scaled an analytically-focused team
  • Commercial presence: comfortable in VP/C-suite conversations; experienced navigating complex enterprise relationships and high-stakes RFPs
  • Quantitative depth: rate forecasting, statistical modeling, time-series analysis
  • Cross-functional influence: Proven ability to influence without authority and drive alignment across cross-functional teams
  • Pricing instinct: natural thinking partner on data product pricing and packaging; data buyer background a plus

Expectations

  • Player-coach model
  • Able to travel 1-2x a month with our commercial and product teams; this is a customer facing role as much as an analytical one

Compensation (Oregon-based)

  • Salary range: $218,000 - $285,000 + bonus + equity

Skills

Statistical ModelingTime-Series AnalysisRate ForecastingFreight PricingData AnalyticsMarket IntelligenceAnalytics StrategyCustomer AdvisoryQuantitative AnalysisData Product Pricing

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