Senior Manager Data Science, Revenue & Growth at Checkr · LumiJobs · LumiJobs

Responsibilities

Build and run the team. Hire, develop, and retain a high-performing group of data scientists and analysts across Revenue and Growth; set clear expectations, coach directly, and create an environment where strong ICs do their best work.
Own the revenue data layer. Drive the roadmap for financial data science: revenue forecasting models, cost and billing data products, reconciliation pipelines, and Exec dashboards that our C-staff and board rely on for planning and strategy.
Accelerate SMB growth. Lead the PLG data science push: experimentation, activation, and conversion analytics, package and pricing optimization, and propensity models that move self-serve revenue.
Partner with Finance and Growth leadership. Be the go-to quantitative thought leader for the CFO org and Product leadership team; translate complex modeling work into clear recommendations that shape our roadmaps.
Ship AI-powered workflows. Put AI to work on your team s processes: automate analytical pipelines, build agentic workflows for recurring analyses, and contribute reusable skills and context to Checkr s agentic platform. The expectation is that our teams operate AI-first.
Raise the technical bar. Set and enforce standards for modeling rigor, data quality, pipeline reliability, and production-readiness. Your team s outputs inform board-level financial decisions; accuracy and trust are the baseline.
A Bachelor s or Master s degree in a quantitative field (Statistics, CS, Economics, Math, Engineering) or equivalent depth from experience
10+ years in data science, analytics, or quantitative roles, with clear progression in scope and impact
4-7+ years of direct people management, with demonstrated ability to hire strong talent and develop ICs into high performers
Deep SQL and Python fluency; hands-on experience with modern ELT/data transformation tools (dbt, Snowflake, or equivalent); working knowledge of ML and forecasting methods
Comfort with and enthusiasm for AI-assisted workflows; experience using LLMs, code-generation tools, or agentic systems in production or operational contexts is a strong signal
Track record of building and executing a multi-quarter roadmap for a data science function, with clear line-of-sight to business outcomes

Senior Manager Data Science, Revenue & Growth

Responsibilities

Qualification

Required

Benefits

Company

Checkr

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