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Director of Data Science, GTM

Harnham

RemoteFull timeMid level$230k – $230kPosted today
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About the role

Are you a data science leader who thrives at the intersection of strategy, analytics, and business impact?

We're partnering with a high-growth, profitable SaaS company seeking a Director of Data Science, GTM to lead and evolve a team focused on revenue growth, customer acquisition, and marketing effectiveness. Reporting directly to the VP of Data, you'll own the GTM data science vision and work closely with executive stakeholders across Sales, Marketing, RevOps, Customer Success, and Finance.

Why Join?

  • Profitable SaaS business with over $130M ARR
  • Global customer base of 68,000+ organizations
  • Modern cloud data platform built on Snowflake
  • Significant investment in AI, analytics, and product innovation
  • Strong growth trajectory with the stability of an established company
  • Remote-first culture combining high performance with genuine work-life balance

The Role

You'll lead a team of five Data Scientists and Analysts while shaping the future of GTM analytics and modeling across the business. This is a highly visible leadership role requiring equal strengths in stakeholder management, strategic thinking, and technical depth.

You'll serve as a trusted advisor to senior leadership, helping teams identify the right opportunities, challenge assumptions, and drive measurable business outcomes through data.

What You'll Be Doing

  • Lead, mentor, and develop a growing team of Data Scientists and Analysts
  • Define and execute the GTM data science roadmap
  • Partner with senior leaders across Sales, Marketing, RevOps, and Customer Success
  • Drive predictive modeling initiatives including:
    • Lead Scoring
    • Customer Lifetime Value (LTV)
    • Marketing Mix Modeling (MMM)
    • Propensity Modeling
    • Experimentation & Causal Inference
  • Establish best practices for analytical rigor, model development, and measurement
  • Review code, coach technical talent, and guide methodology
  • Build credibility and alignment between Data and GTM leadership teams
  • Help create a data-driven culture that influences strategic decision-making

Key Priorities in the First 12 Months

  • Launch the next generation lead scoring model
  • Build a scalable customer lifetime value framework
  • Develop marketing mix modeling capabilities
  • Enhance experimentation and measurement practices
  • Strengthen strategic partnership between Data and GTM teams

What We're Looking For

  • 7+ years in Data Science, Marketing Analytics, Revenue Analytics, or related disciplines
  • 3+ years leading Data Science or Analytics teams
  • Deep expertise in Sales and Marketing Data Science
  • Experience within B2B SaaS or businesses with complex sales cycles
  • Strong Python and SQL skills
  • Experience building predictive models from the ground up
  • Knowledge of experimentation, causal inference, attribution, and forecasting methodologies
  • Comfortable leveraging modern AI tools and AI-assisted workflows
  • Exceptional communication and stakeholder management skills

Ideal Background

You'll likely come from a growth-stage SaaS environment where you've partnered closely with GTM leaders and delivered measurable business impact through analytics and data science. You're strategic enough to influence executives and technical enough to challenge methodologies, review code, and guide complex modeling initiatives.

Please Note

This role is not suited to:

  • Pure ML Engineering or data infrastructure specialists
  • Candidates lacking meaningful GTM Data Science experience
  • Individuals whose experience is exclusively within highly mature Big Tech environments
  • Candidates with only early-stage startup exposure

If you're excited by the challenge of building world-class GTM data science capabilities while leading a talented team through its next stage of growth, we'd love to hear from you.

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