Senior Leader, Sales Analytics & AI Forecasting

Monograph; San Francisco (CA); Hybrid; USD 185,000 - 255,000; Full time

Job summary

Gusto is seeking a Senior Data Science Leader to empower the Sales Data team, guiding analysts and data scientists through complex questions and cross-functional collaboration acrossSales Operations, Data Engineering, Finance, and R&D.

This role focuses on advanced forecasting, causal inference, and building a scalable data foundation while embracing AI-enabled self-service analytics for revenue analytics. Strong leadership and data systems expertise are essential.

Qualifications

• 10+ years of experience in data science or related fields, with at least 4+ years leading a growing analytics team.
• Strong leadership with a builder mindset and hands-on ability to build reports and run analyses.
• Expertise in statistical and causal inference and experimental design across observational data.

Responsibilities

• Lead the Sales Analytics team and drive impact across acquisition and expansion.
• Conduct deep-dive analyses to identify revenue drivers and translate data into actionable insights for executives.
• Rebuild the foundational data systems in partnership with Data Engineering for scalable analytics.
• Partner with CRO, Sales Ops, Data Engineering, and Service Platform to align roadmaps.
• Evolve forecasting and enable self-service analytics with AI across the org.
• Drive team excellence and mentor analysts toward strategic work.
• Identify cross-team opportunities to accelerate revenue-driving analytics.

Skills

SQL skills

dbt

Snowflake

Salesforce data

Tools

dbt

Snowflake

Salesforce

Job description

Gusto is seeking a Senior Data Science Leader to empower the Sales Data team, guiding analysts and data scientists through complex questions and cross-functional collaboration acrossSales Operations, Data Engineering, Finance, and R&D.

This role focuses on advanced forecasting, causal inference, and building a scalable data foundation while embracing AI-enabled self-service analytics for revenue analytics. Strong leadership and data systems expertise are essential.