Senior Director, Decision Analytics
New
S
Sprout SocialSaaS Strategy Analytics
Remote USFull-TimeDirector
Salary200,000 - 302,500 USD per year
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Job Details
- Experience
- 12+ years in analytics, data science, or a related field, including 5+ years leading teams within a SaaS or subscription-based business.
- Required Skills
- PythonSQLMachine LearningTableauData scienceChange Managementdbt
Requirements
- 12+ years experience in analytics, data science, or a related field.
- 5+ years experience leading teams within a SaaS or subscription-based business.
- 5+ years experience hiring, developing, and mentoring managers, analysts, and data scientists.
- Proven success scaling and managing a centralized or hybrid analytics function.
- Deep, fluent understanding of core SaaS metrics (ARR, NRR, GRR, pipeline velocity, CAC payback, LTV:CAC, product activation).
- Ability to move fluidly between high-level executive strategy and granular, hands-on technical execution.
- Experience leading an analytics organization through a major consolidation or restructure (preferred).
- Hands-on familiarity with the modern data stack (SQL, Python, dbt, cloud warehouses, BI tools like Tableau/Hex/Looker).
- Foundational understanding of ML modeling frameworks and experimentation design.
- Experience expanding advanced data science capabilities including predictive modeling and ML-based forecasting.
- Practical experience integrating AI tools and automation to accelerate and scale analytical workflows.
Responsibilities
- Own and lead Decision Analytics, spanning domain-specialized pods supporting Marketing, Revenue, Product, and Finance.
- Set the vision, standards, and operating model for how Decision Analytics prioritizes and partners with stakeholders.
- Drive a fundamental shift from reactive reporting to proactive, insight-driven decision-making.
- Serve as the primary analytics and data science thought partner to senior business stakeholders.
- Lead and develop a team of managers, analysts, and data scientists across multiple domain pods.
- Partner with the Director of Data Enablement on infrastructure and analytics engineering requirements.
- Champion AI-forward thinking and integration into analytical workflows.
- Drive change management through the transition to a centralized analytics model.
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