Senior Manager, Data & Analytics

About Our ClientOur client is a fast-growing technology company in the HR tech / SaaS space, providing solutions that help small and medium-sized businesses manage their workforce. Their Data & Analytics team is the company's data and AI center of excellence, partnering with every part of the business to turn data into decisions.About the RoleOur client is growing their Data & Analytics organization and is hiring across several roles spanning Business Intelligence, Data Engineering, Data Governance, Analytics Engineering, Data Science, and Strategy & Operations. This posting outlines the core expectations, qualifications, and ways of working that are common across these roles — specific responsibilities, team structure, and level will vary by position.Depending on the specific role, you may be individually responsible for hands-on delivery, or you may lead and develop a team of analysts or engineers while remaining close to the work as a player-coach.What You'll Do Partner with stakeholders across Product, Finance, People, and Revenue to define data and analytics needsDesign, build, or govern scalable data models, pipelines, dashboards, or reporting frameworksChampion data quality, documentation, and certification standards across the organizationBring an AI-native approach to your work — using modern tooling to accelerate analysis, development, and workflowsTranslate ambiguous business questions into structured, actionable analytical workContribute to team-wide rituals such as All Hands, data demos, and quarterly business reviewsFor people-manager roles: hire, coach, and grow a team of analysts or engineersWhat You'll Bring5+ years of experience in data engineering, analytics engineering, BI, data science, data governance, or a related fieldStrong SQL skills; hands-on experience with Snowflake or a comparable cloud data warehouseFamiliarity with modern data stack tooling: dbt, Airflow, Fivetran, or equivalentsExperience with a modern BI platform (Sigma, Tableau, Looker, or similar)Comfort operating in ambiguity, with a bias toward pragmatic, iterative deliveryExcellent communication skills — able to translate technical work for non-technical stakeholdersDemonstrated fluency with AI tools and a genuine interest in AI-native ways of workingExperience with data cataloging/governance tools (e.g., Atlan, Alation, Collibra) is a plus for governance-adjacent roles