Director of GTM Data

Harnham; United States; On-site; USD 180,000 - 260,000; Full time

Job summary

Harnham is seeking a Director of GTM Data to define and execute the strategic vision, standards, and operating model for go-to-market analytics and data science capabilities. You will lead a team of data scientists and analysts, partner with Marketing, Sales, RevOps, and Finance, and advise executive leaders on revenue levers such as LTV, CAC, retention, and conversion funnels.

Ideal candidates have extensive experience in applied data science for B2B SaaS, strong Python/SQL, ML, A/B testing,

Qualifications

• Experience leading data science or analytics teams.
• Strong understanding of B2B SaaS and RevOps.
• Excellent communication with executive stakeholders.

Responsibilities

• Define and execute the strategic vision, standards, and operating model for GTM analytics and data science.
• Oversee a team of data scientists and analysts and coach the team for growth.
• Partner with Marketing, Sales, Customer Success, RevOps and Finance at executive level.
• Translate complex business questions into analytical frameworks and metrics.
• Lead experimentation strategies and guide ML model deployment and iteration.
• Review technical work and ensure high statistical rigor while promoting AI fluency.

Skills

Data leadership

Python

SQL

ML modeling

A/B testing

Executive communication

Education

Master's degree in a relevant field

Tools

Snowflake

dbt

Looker

Job description

The client is seeking a Director of GTM Data to define and execute the strategic vision, technical standards, and operating model for Go-To-Market analytical and data science capabilities. This leadership role will report directly to the VP of Data and oversee a team of data scientists and analysts, serving as a strategic thought partner to executive leaders across Marketing, Sales, Customer Success, RevOps, and Finance. The Director will be responsible for aligning data strategy with core revenue levers and owning the 12-24 month GTM data strategy, including enterprise metrics such as LTV, CAC, retention, and conversion funnels.

Key responsibilities include translating complex business questions into structured analytical frameworks, guiding the deployment and iteration of predictive models, and leading experimentation strategies. The Director will also drive AI fluency within the team, review technical work such as Python and SQL code, and ensure high statistical rigor through a coach-first leadership style. Additionally, the role involves managing, retaining, and developing a team, fostering technical depth and business acumen, and championing a culture of continuous improvement and cross-functional collaboration.

The ideal candidate will have extensive experience in applied data science, revenue analytics, or sales/marketing analytics, including several years managing data science or analytics teams. A deep understanding of B2B SaaS or subscription business models, sales funnel dynamics, and RevOps technology is essential. Proficiency in Python, advanced SQL, machine learning modeling, causal inference, and A/B testing is required, with exposure to modern data stack tools considered a strong advantage. Exceptional communication skills and the ability to influence executive stakeholders are also important for success in this role.