JobHabor

Senior Director, Decision Analytics

Sprout Social

Location
United States
Workplace
Remote
Employment
Full Time
Salary
USD 200,000–302,500/yr
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Posted 1mo ago

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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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