Data Science & Analytics Manager

claylabs; United States; On-site; USD 150,000 - 230,000; Full time

Job summary

Clay is seeking a Data Science Manager to lead its Data Science and Analytics team, guiding experimentation, metrics, and data-driven decision making across Product, Marketing, Sales, and Finance. The role combines technical leadership with strategic influence, partnering with executives to turn ideas into measurable outcomes.

You will mentor data scientists and analytics engineers, define standards, and ensure the team delivers impact that shapes Clay's growth trajectory in a fast-growing AI

Qualifications

• 6+ years in data science or analytics with leadership.
• Experience shipping data-informed product decisions.
• Strong statistical and modeling skills.
• Proven ability to mentor ICs.

Responsibilities

• Lead and grow the Data Science and Analytics team.
• Set technical standards for experimentation and metrics.
• Ensure data-driven decision making across products and business.
• Partner with executives to align strategy with data.
• Shape product strategy with measurements and dashboards.
• Develop and monitor key metrics and data instrumentation.
• Build data storytelling capabilities across org.

Skills

Data leadership

Experimentation

Analytics engineering

Stakeholder management

Data storytelling

Tools

Python

SQL

R

Tableau/Looker

Job description

About Clay

Our mission is to help organizations turn any growth idea into reality.

We see growth as a creative practice, not a formula. Finding and reaching your best-fit customers takes unique ideas and constant iteration. As AI makes execution faster and tactics easier to copy, creativity is the only lasting advantage. We're already helping thousands of customers - including Anthropic, Notion, Google, and Ramp - go to market with unique data, signals, and AI research.

In 2025, we raised a $100M Series C backed by world-class investors including Sequoia, CapitalG, and First Round - and crossed $100M in revenue.

In 2026, we announced our second employee tender offer in 9 months at a new $5B valuation. We also launched a community equity round , for our customers, agency partners, and club members.

Some things to know about us:

Our community includes 11,000+ customers, 150+ 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 for free 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 p