Data Science & Analytics Manager
Hybrid (New York)$240k - $300kFull-timePosted 2mo ago
About the role
Lead Clay's Data Science and Analytics team (DSA) to drive experimentation, metric design, insights, and data-driven decision-making across the business. Shape product and business strategy through data, build a data-obsessed organization, and partner with executives to scale impact.
Responsibilities
- Lead and grow the team. Manage and develop data scientists and analytics engineers. Recruit, interview, and onboard top talent as the team scales. Create shared standards for what great data work looks like, and coach the team to get there. Establish rituals that build team cohesion and support technical growth.
- Set the technical bar. Hold high standards for experimentation, analysis, insights, metric design, and data modeling. Ensure that Clay remains at the forefront of the latest innovations in AI for data science and analytics.
- Relentlessly focus on impact. Ensure the team is making the right tradeoffs. Keep the team focused on work that actually changes decisions and meaningfully impacts the business trajectory of Clay, and leave the rest.
- Strategically partner and prioritize across the business. Own staffing across partner areas to ensure every key stakeholder has the support they need, while holding a high bar for impact and pushing back where needed. Ensure partners are making data-informed decisions, and that they have the tooling, insights, and partnership they need to do so.
- Shape product and business strategy. Directly inform what we prioritize using data; opportunity size new potential areas for investment and proactively identify potential new directions through analysis and insights. Set the narrative internally using numbers.
- Define our key measurement frameworks. Partner with stakeholders to define our business and product goals. Lead the development and championing of key metrics; ensure our most important metrics are properly instrumented and monitored. Create a data-obsessed organization.
- Develop a deep understanding of and empathy for our users. Partner with UXR and customer feedback teams to create the most comprehensive understanding of what Clay users, buyers, and prospects want and need.
Qualifications
- 2+ years managing data scientists and/or analytics engineers, and 6+ years overall in data science or analytics, with a track record of shipping work that has directly influenced product and business decisions
- Strong technical depth in experimentation, analytics, statistics, data modeling, and metric design; can coach and set a high technical bar for senior ICs
- Expertise in product or growth data science: an expert-level understanding of user funnels (acquisition, activation, engagement, retention) in B2B or B2C products
- Skilled at stakeholder management: comfortable partnering with senior leaders across Product, GTM, and Finance, and pushing back when needed
- Proven experience influencing product roadmaps via data and insights, and the proven ability to connect data work to business outcomes
- Excellent data storytelling skills
- An empathetic communicator who expresses nuanced ideas clearly for different audiences and prioritizes curiosity and partnership
- Experience growing teams: hiring, coaching, and developing senior ICs
- Excitement about AI-native ways of working
Skills
Required:ExperimentationStatisticsData ModelingMetric DesignData Storytelling
Benefits
- Not specified in the description
Last updated Sep 16, 2026. Interested? Apply on the company site.

About Clay
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We build software to allow anyone, anywhere to create in 3D together. We believe that collaborating in 3D should feel magical and we're working to make it happen.
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