Data Science & Analytics Manager
Claylabs · New York
About this role
## About Clay AI Clay AI is unleashing the biggest wave of company creation in history. Clay’s mission is to be the engine companies use to grow to their full potential—predicting the next best action and helping teams take it. Clay aggregates best-in-class data for B2B companies, then builds infrastructure to run personalized campaigns (emails, ads, landing pages, and workflows). Clay is also building agents to help companies grow. Clay already supports thousands of customers, including Anthropic, OpenAI, Google, and Visa, and is on track to cross **$200M in revenue** this quarter. ## The Role We’re looking for a **Data Science & Analytics Manager** to lead Clay’s **Data Science and Analytics (DSA)** team. DSA is a center of excellence for experimentation, metric design, insights, and data-driven decision-making across **Product, Marketing, Sales, Finance, and Partnerships**. You’ll be a key leader in setting product and business strategy—partnering with executives to connect ideas with numbers, and shaping the internal narrative using data. ## What You’ll Do - **Lead and grow the team**: manage and develop data scientists and analytics engineers. - **Recruit and onboard** top talent as the team scales. - Create shared standards for “great data work,” and **coach** the team to reach them. - Establish rituals that build cohesion and support technical growth. - Set and maintain the **technical bar** across experimentation, analysis, insights, metric design, and data modeling. - Stay at the forefront of **AI for data science and analytics**. - **Relentlessly focus on impact**: prioritize work that changes decisions and meaningfully affects Clay’s trajectory. - Strategically partner and prioritize across the business. - Own staffing across partner areas to ensure stakeholders have what they need—while pushing back when necessary. - Ensure partners make **data-informed decisions** with the right tooling and insights. - Shape product and business strategy using data: opportunity sizing, identifying new directions, and defining measurement frameworks. - Lead and champion key metrics; ensure critical metrics are properly instrumented and monitored. - Build a **data-obsessed organization** through deep user empathy and collaboration with UXR/customer feedback teams. ## What We’re Looking For - **2+ years** managing data scientists and/or analytics engineers; **6+ years** overall in data science or analytics. - Track record of shipping work that directly influenced **product and business decisions**. - Strong technical depth in experimentation, analytics, statistics, data modeling, and metric design. - Expertise in **product or growth data science**, including user funnels (acquisition, activation, engagement, retention) in B2B or B2C. - Strong stakeholder management across Product, GTM, and Finance—comfortable pushing back. - Proven ability to influence product roadmaps via data and insights. - Excellent **data storytelling** skills. - Empathetic communicator who can explain nuanced ideas clearly to different audiences. - Experience growing teams: hiring, coaching, and developing senior ICs. - Excitement about **AI-native ways of working**. ## Nice to Have - Experience with Snowflake, GitHub, dbt, Hex, Sigma, Dagster. - Product-led growth or B2B SaaS experience, especially usage-based pricing. - Embedded/hub-and-spoke data team models. - Experience scaling data teams through rapid growth. - Experience working on AI products. ## Why Cla
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