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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Science & Analytics Manager - **Company:** Clay Labs Inc. - **Location:** New York, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Data Analysis, Data Presentation, Github, Snowflake, Virtual Agents - **Published:** August 24, 2026 - **Apply:** https://www.dice.com/job-detail/de214a6b-fe66-4aca-9b80-2287a5aaa614 ## About the Role 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 Nice to have Experience with our stack: Snowflake, GitHub, dbt, Hex, Sigma, Dagster Experience in product-led growth or B2B SaaS, especially usage-based pricing Experience running embedded/hub-and-spoke data team models Experience scaling a data team through rapid company growth Experience working on AI products ## Description We're looking for a Data Science Manager to lead Clay's Data Science and Analytics team (DSA). DSA is a team of data scientists and analytics engineers that serves as the company's center of excellence for experimentation, metric design, insights, and data-driven decision-making across all areas of the business (Product, Marketing, Sales, Finance, and Partnerships). The manager of this team will be a key leader in setting product and business strategy: partnering with executives to meet ideas with numbers and set the internal narrative and focus using data. The team has strong foundations and is at the forefront of AI for data: we've basically solved the self-serve analytics problem via our custom in-house AI agent "Monty." We're looking for a strong leader with strong data intuition, product and business acumen, and data storytelling skills who can multiply this team's strategic influence on one of the fastest-growing AI businesses. What you'll do 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. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [How to Turn Community Events Into a Powerful AI GTM Engine: The Daytona Playbook](https://www.wearedevelopers.com/magazine/732-how-to-turn-community-events-into-a-powerful-ai-gtm-engine-the-daytona-playbook) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)