{"id":586372,"url":"https://alion.io/job/clay-data-science-analytics-manager","title":"Data Science & Analytics Manager","company":{"id":1484,"name":"Clay","domain":"clay.com","url":"https://alion.io/company/clay","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":81,"open_postings":9,"ghost_share":0,"stale_share":0.556,"repost_share":0,"time_to_fill_p50_days":75,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":240000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"OpenAI","optional":false},{"name":"Dagster","optional":true},{"name":"dbt","optional":true},{"name":"GitHub","optional":true},{"name":"Slack","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-08-20T16:40:04Z","employer_posted_date":"2026-08-20","last_verified_at":"2026-11-02T14:17:56Z","board_verified":true,"closed_at":null,"days_open":73,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":73},"description":"About Clay\nAI 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.\nClay 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.\nIn 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.\nSome things to know about us:\nOur community includes 17,000+ customers, 200+ integration partners, 125+ agencies, 50+ Clay clubs, and 30k members on Slack.\n\nOur 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.\n\nAll employees can work with world-class coaches who specialize in creativity, management, and more.\n\nOur operating principles - including negative maintenance and non-attached action - guide our work. Read more about them here.\n\nRead about us in the NYT, Forbes, First Round Review, and more.\n\nHear from our employees directly on our Glassdoor page!\nThe Role\nWe'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.\nThe 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.\nWhat you'll do\nLead 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.\nSet 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.\nRelentlessly 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.\nStrategically 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.\nShape 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.\nDefine 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.\nDevelop 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.\nWhat we're looking for\n2+ 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\nStrong technical depth in experimentation, analytics, statistics, data modeling, and metric design; can coach and set a high technical bar for senior ICs\nExpertise in product or growth data science: an expert-level understanding of user funnels (acquisition, activation, engagement, retention) in B2B or B2C products\nSkilled at stakeholder management: comfortable partnering with senior leaders across Product, GTM, and Finance, and pushing back when needed\nProven experience influencing product roadmaps via data and insights, and the proven ability to connect data work to business outcomes\nExcellent data storytelling skills\nAn empathetic communicator who expresses nuanced ideas clearly for different audiences and prioritizes curiosity and partnership\nExperience growing teams: hiring, coaching, and developing senior ICs\nExcitement about AI-native ways of working\nNice to have\nExperience with our stack: Snowflake, GitHub, dbt, Hex, Sigma, Dagster\nExperience in product-led growth or B2B SaaS, especially usage-based pricing\nExperience running embedded/hub-and-spoke data team models\nExperience scaling a data team through rapid company growth\nExperience working on AI products\nWhy Clay\nData 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. 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