Data Science & Analytics Manager
Leads Clay’s Data Science and Analytics team, managing data scientists and analytics engineers while setting technical standards and measurement frameworks. The role partners with executives and cross-functional leaders to shape product and business strategy through experimentation, analytics, and data storytelling.
About the job
Responsibilities
- Lead and grow the Data Science and Analytics team, including managing, hiring, onboarding, coaching, and developing data scientists and analytics engineers.
- Set technical standards for experimentation, analysis, insights, metric design, and data modeling.
- Prioritize high-impact work and ensure data efforts influence business outcomes.
- Partner with Product, Marketing, Sales, Finance, Partnerships, and executives on data-informed decisions.
- Shape product and business strategy through analysis, opportunity sizing, insights, and internal data narratives.
- Define business and product measurement frameworks, champion key metrics, and ensure instrumentation and monitoring.
- Develop a deep understanding of users, buyers, and prospects in partnership with user research and customer feedback teams.
Requirements
- 6+ years of overall experience in data science or analytics.
- 2+ years managing data scientists and/or analytics engineers.
- Strong technical depth in experimentation, analytics, statistics, data modeling, and metric design.
- Expert understanding of acquisition, activation, engagement, and retention funnels for B2B or B2C products.
- Experience partnering with senior leaders across Product, go-to-market, and Finance.
- Proven ability to influence product roadmaps and connect data work to business outcomes.
- Excellent data storytelling and communication skills.
- Experience hiring, coaching, and developing senior individual contributors.
- Excitement about AI-native ways of working.
Nice-to-haves
- Experience with Snowflake, GitHub, dbt, Hex, Sigma, or Dagster.
- Experience in product-led growth or B2B SaaS, especially usage-based pricing.
- Experience with embedded or hub-and-spoke data team models.
- Experience scaling data teams through rapid company growth.
- Experience working on AI products.
Compensation and Benefits
- Salary range: $240,000–$300,000.
- Employees can work for free with world-class coaches specializing in creativity, management, and more.
Skills
Snowflake, GitHub, dbt, Hex, Sigma, Dagster, Experimentation, Statistics, Data Modeling, Metric Design, Product Analytics, Growth Analytics, AI
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