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About the Role

Gusto is seeking an experienced Senior Data Science Leader to guide the Sales Data team, responsible for insights, forecasting, and measurement infrastructure for revenue acquisition, expansion, and retention. This leader will be a strategic partner and execution-focused, guiding senior sales and marketing leaders, developing analysts, and collaborating cross-functionally. The role involves addressing complex analytical questions, rebuilding the sales data foundation, and evolving the team's focus towards advanced forecasting and causal inference, leveraging AI tools.

Responsibilities

Lead the Sales Analytics team, driving vision and championing a team of data scientists and analysts to impact customer acquisition and product expansion sales teams.
Conduct deep-dive analyses to identify revenue drivers and anomalies, translating complex data into actionable insights and recommendations for senior leadership and cross-functional partners.
Partner with Data Engineering and Service Platform teams to drive the evolution of foundational data systems for a world-class sales analytics ecosystem.
Collaborate with the Chief Revenue Officer, Sales Operations, Data Engineering, and the Service Platform team to align on a shared data and infrastructure roadmap.
Evolve sales forecasting methodology to incorporate rigorous analytics methods, such as propensity scoring and improved seasonality controls.
Leverage AI development to create self-service analytics capabilities for operations partners and stay ahead of emerging AI tools for revenue analytics efficiency and accuracy.
Recruit, mentor, and develop a high-performing analytics team, shifting the culture from reactive query fulfillment to strategic analysis and defining excellence in a world of AI-driven reporting.
Identify opportunities for deeper technical solutions across the data organization to accelerate revenue-driving analytics and proactively engage relevant partners.

Requirements

10+ years of experience in data science or related fields, with at least 4+ years leading a growing analytics team.
Leadership with a Builder Mindset: dynamic leader who inspires and develops teams while maintaining a “roll up your sleeves” attitude.
Strong command of experimental design, causal reasoning, and quasi-experimental methods for settings where A/B testing isn't possible.
Comfortable navigating assumptions for credible causal claims from observational data and communicating tradeoffs to non-technical stakeholders.
Deep experience working with Salesforce data at scale, including data extraction strategies, CRM-to-warehouse reconciliation, and challenges of treating Salesforce as a source of truth.
Proven track record of rebuilding messy, tech-debt-laden data environments with long-term scalability in mind.
Strong SQL skills, hands-on experience with dbt and Snowflake, and comfort navigating transformation logic across multiple layers.
Ability to mentor analysts on best practices.
Strong understanding of pipeline management, forecasting, quota and attainment tracking, acquisition and expansion motions, and cross-sell/upsell analytics in a multi-product SaaS environment.
Ability to negotiate priorities and drive shared roadmaps with platform engineering, data engineering, and sales operations teams.
Experience leading teams through significant transformation, raising performance expectations, coaching analysts toward more strategic work, and making tough talent decisions.
Experience presenting infrastructure roadmaps and analytical insights to executive stakeholders, translating complex data system challenges into clear business terms.
Clear-eyed view of how AI tooling is reshaping the analyst role and the value of statistical rigor, causal thinking, and answering complex questions.
Proven track record of successfully building and leading analytics functions in a high-growth SaaS or technology environment.

Skills

Data Science
Analytics
Salesforce data
SQL
dbt
Snowflake
Experimental design
Causal reasoning
Quasi-experimental methods
Pipeline management
Forecasting
Quota and attainment tracking
Acquisition and expansion motions
Cross-sell/upsell analytics
AI tooling
Statistical rigor
Communication skills

Location

San Francisco
New York City
Denver
Scottsdale

Work Type

Hybrid

Experience Level

Senior
10+ years of experience
4+ years leading a growing analytics team

Salary/Compensations

$218,000 - $255,000 in San Francisco & New York
$185,000 - $217,000 in Denver

Benefits

Competitive base pay
Benefits
Equity (RSUs)

About the Company

Gusto is on a mission to grow the small business economy by handling payroll, health insurance, 401(k)s, and HR, allowing owners to focus on their craft and customers.
Teams are located in Denver, San Francisco, and New York.
Gusto supports over 500,000 small businesses nationwide.
Gusto is building a workplace that reflects the people they serve.
AI is fundamental to how work gets done at Gusto, with expectations for team members to engage with AI tools and grow their fluency.

Equal Opportunity

Gusto is proud to be an equal opportunity employer.
Does not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic.
Considers qualified applicants with criminal histories, consistent with applicable federal, state and local law.
Committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in job application procedures.
Provides reasonable accommodations for medical or religious needs during the candidate journey.