Senior Director, Decision Analytics
Sprout Social
- Location
- United States
- Workplace
- Remote
- Employment
- Full Time
- Salary
- USD 200,000–302,500/yr
Posted 1mo ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
Responsibilities
- Own and lead Decision Analytics, Sprout's centralized analytics and data science function
- Set the vision, standards, and operating model for how Decision Analytics works
- Drive a fundamental shift in how Sprout's business teams use data
- Serve as the primary analytics and data science thought partner to senior business stakeholders
- Connect the dots across the organization
- Be a hands-on leader
- Lead and develop a team of managers, analysts, and data scientists
- Partner closely with the Director of Data Enablement on data infrastructure
- Champion AI-forward thinking across the analytics and data science function
- Drive change management as the organization completes its transition to a centralized analytics model
- Collaborate cross-functionally without ego
Requirements
- 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
- Proven success scaling and managing a centralized or hybrid analytics function
- Deep, fluent understanding of core SaaS metrics across the customer lifecycle
- The ability to move fluidly between high-level executive strategy and granular, hands-on technical execution
- Experience leading an analytics organization through a major consolidation, restructure, or operating model transformation
- Hands-on familiarity with the modern data stack
- Foundational understanding of ML modeling frameworks and experimentation design
- Experience expanding advanced data science capabilities alongside core analytics
- An AI-forward mindset with practical experience integrating AI tools and automation
Preferred
- 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)
- 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
Skills
- SQL
- Python
- dbt
- Tableau
- Hex
- Looker
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