Senior Director, Decision Analytics
$220,000–$302,500 year
RemoteUnited States
Job Summary
Own and lead Decision Analytics, Sprout's centralized analytics and data science function spanning Marketing, Revenue, Product, and Finance pods. Set the vision and operating model to shift the team from reactive reporting to proactive, insight-driven decision-making that shapes business outcomes. Serve as the primary thought partner to senior stakeholders, guiding prioritization across domains while championing AI-forward thinking and automation. Lead and develop a team of managers, analysts, and data scientists, driving change management as the organization transitions to a new centralized analytics structure. Build trust with stakeholders and establish new ways of working to ensure the analytical layer remains scalable and trustworthy.
Required Qualifications
- 12+ years in analytics, data science, or a related field
- 5+ years leading teams within a SaaS or subscription-based business
- 5+ years experience of hiring, developing, and mentoring a high-performing team of managers, analysts, and data scientists
- Proven success scaling and managing a centralized or hybrid analytics function that simultaneously supports diverse cross-functional business units
- Deep, fluent understanding of core SaaS metrics across the customer lifecycle (e.g., ARR growth/composition, NRR, GRR, pipeline velocity, CAC payback, LTV:CAC, and product activation)
- The ability to move fluidly between high-level executive strategy and granular, hands-on technical execution
Desired Qualifications
- Experience leading an analytics organization through a major consolidation, restructure, or operating model transformation
- Hands-on familiarity with the modern data stack (SQL, Python, dbt, cloud warehouses, BI/visualization tools like Tableau/Hex/Looker) and a foundational understanding of ML modeling frameworks and experimentation design
- Experience expanding advanced data science capabilities alongside core analytics, including predictive modeling and ML-based forecasting
- An AI-forward mindset with practical experience integrating AI tools and automation to accelerate and scale analytical workflows
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