GTM Data Science Lead: Revenue Analytics & Strategy

Harnham; United States; On-site; USD 160,000 - 210,000; Full time

Job summary

Harnham, a global data science recruiting partner, is partnered with a leading B2B SaaS company to hire a Senior Manager of Data Science, GTM. This is a high impact leadership role reporting to the VP of Data, guiding a growing team that supports Sales, Marketing, RevOps, Customer Success, and Finance.

You will shape the GTM Data Science strategy, drive predictive modeling and experimentation, and work with senior stakeholders to align data initiatives with revenue growth and customer lifetime

Qualifications

• 7+ years in Data Science or related fields.
• 3+ years of people management.
• Proven GTM-focused Data Science impact in B2B SaaS or subscription models.
• Strong communication and stakeholder management.

Responsibilities

• Lead and develop a team of 5 Data Scientists and Analysts.
• Own the GTM Data Science strategy across acquisition, retention, and expansion.
• Partner with senior leaders across Sales, Marketing, RevOps, and Customer Success.
• Lead high impact work on lead scoring, LTV, MMM, attribution, sales propensity, and experimentation.
• Establish trusted metrics across CAC, LTV, retention, and conversions.
• Provide technical leadership in predictive modeling, experimentation, and causal inference with Python and SQL.
• Advise on AI tool adoption to improve Data Science operations.

Skills

Data Science leadership

People management

GTM expertise

Predictive modeling

Experimentation

Causal inference

Python

SQL

Stakeholder management

Communication

Job description

Harnham, a global data science recruiting partner, is partnered with a leading B2B SaaS company to hire a Senior Manager of Data Science, GTM. This is a high impact leadership role reporting to the VP of Data, guiding a growing team that supports Sales, Marketing, RevOps, Customer Success, and Finance.

You will shape the GTM Data Science strategy, drive predictive modeling and experimentation, and work with senior stakeholders to align data initiatives with revenue growth and customer lifetime