Data Science & Analytics Manager
At a glance
Manager-level Data Analysis & BI role at Clay Labs. New York · full-time · $240,000–$300,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Lead and develop data scientists and analytics engineers, setting shared quality standards and hiring as the team grows
- Set expectations for experiments, analysis, metrics, and data models, while coaching senior contributors on technical work
- Direct team capacity toward analysis that changes business decisions, and push back on lower-impact requests
- Work with senior partners across Product, Marketing, Sales, Finance, and Partnerships to guide priorities and data-informed decisions
- Use analysis to size investment opportunities, shape product and business direction, and establish goals and measurement frameworks
What you bring
- At least two years managing data scientists or analytics engineers, plus six years or more in data science or analytics
- A record of data work that has changed product or business decisions, including expertise in product or growth analytics and user funnels
- Strong command of experimentation, statistics, analysis, data modeling, and metric design, with the ability to coach senior individual contributors
- Experience influencing product roadmaps with data and explaining findings clearly to different audiences
Who this fits
This manager role suits someone who can lead a data team while partnering with senior leaders and connecting analysis to business outcomes. The position is hybrid in New York.
From the employer
About Clay
AI is unleashing the biggest wave of company creation in history. Clay's mission is to be the engine those companies use to grow to their full potential.
Clay predicts the next best action for your business and then helps you take it. We started by aggregating the best data for B2B companies. Then, we built the infrastructure to run any personalized campaign on top of it, including emails, ads, landing pages, and workflows that make reps more productive. Now, we're building agents that can help grow your company for you. We're already helping thousands of customers — including Anthropic, OpenAI, Google, and Visa — go to market with unique data, signals, and AI research.
In 2026, we raised a $115M Series D at $7.1B Valuation led by Wellington — and are on track to cross $200M in revenue this quarter. We also launched a $1M Scholarship fund for GTME Education.
Some things to know about us:
Our community includes 17,000+ customers, 200+ integration partners, 125+ agencies, 50+ Clay clubs, and 30k members on Slack.
Our culture is unique inside and outside of work. Our team members are also DJs, activists, writers, clowns, marathoners, skydivers, psychedelic therapists, social workers, and more.
All employees can work with world-class coaches who specialize in creativity, management, and more.
Our operating principles — including negative maintenance and non-attached action — guide our work. Read more about them here.
Read about us in the NYT, Forbes, First Round Review, and more.
Hear from our employees directly on our Glassdoor page!
The Role
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.
What we're looking for
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
Why Clay
Data is at the heart of what we do at Clay. We are building a self-learning revenue engine; we need data leadership to understand how that engine is operating internally and for our customers. We are building a team of strategic leaders and trusted truth-tellers: come lead it!
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