Senior Director, Decision Analytics
New
S
Sprout SocialSaaS, Data Analytics
Sprout maintains a remote workforce in many places in the United States. However, we are not set up in all states, so please look at the drop-down box in our application to see whether your state is listed.Full-TimeDirector
SalaryZone 1 (New York, California, Washington): $220,000 – $302,500; Zone 2 (All other US states): $200,000 – $275,000
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Job Details
- Experience
- 12+ years in analytics, data science, or a related field
- Required Skills
- PythonSQLMachine LearningTableauChange ManagementdbtLooker
Requirements
- 12+ years of experience in analytics, data science, or a related field.
- 5+ years of experience leading teams within a SaaS or subscription-based business.
- 5+ years of experience 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 supporting diverse business units.
- Deep understanding of core SaaS metrics including ARR, NRR, GRR, pipeline velocity, CAC payback, and LTV:CAC.
- 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 including SQL, Python, dbt, cloud warehouses, and BI/visualization tools like Tableau, Hex, or Looker.
- Foundational understanding of ML modeling frameworks and experimentation design.
- Experience expanding advanced data science capabilities such as predictive modeling and ML-based forecasting.
- Practical experience integrating AI tools and automation to accelerate and scale analytical workflows.
Responsibilities
- Own and lead the centralized analytics and data science function supporting Marketing, Revenue, Product, and Finance.
- Define the vision, standards, and operating model for how the Decision Analytics team prioritizes work and partners with stakeholders.
- Drive a fundamental shift from reactive reporting to proactive, insight-driven decision-making.
- Serve as the primary analytics thought partner to senior business stakeholders to deliver high-leverage work.
- Lead and develop a team of managers, analysts, and data scientists across multiple domain pods.
- Partner with the Director of Data Enablement to ensure the analytical layer is built on a scalable foundation.
- Champion AI-forward thinking and integration of automation into analytical workflows.
- Drive change management for the transition to a centralized analytics model.
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