Senior Manager, Data & Analytics

• About Our Client
• Our 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 Role
• Our 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 needs
• Design, build, or govern scalable data models, pipelines, dashboards, or reporting frameworks
• Champion data quality, documentation, and certification standards across the organization
• Bring an AI-native approach to your work — using modern tooling to accelerate analysis, development, and workflows
• Translate ambiguous business questions into structured, actionable analytical work
• Contribute to team-wide rituals such as All Hands, data demos, and quarterly business reviews
• For people-manager roles: hire, coach, and grow a team of analysts or engineers

• What You'll Bring
• 5+ years of experience in data engineering, analytics engineering, BI, data science, data governance, or a related field
• Strong SQL skills; hands-on experience with Snowflake or a comparable cloud data warehouse
• Familiarity with modern data stack tooling: dbt, Airflow, Fivetran, or equivalents
• Experience with a modern BI platform (Sigma, Tableau, Looker, or similar)
• Comfort operating in ambiguity, with a bias toward pragmatic, iterative delivery
• Excellent communication skills — able to translate technical work for non-technical stakeholders
• Demonstrated fluency with AI tools and a genuine interest in AI-native ways of working
• Experience with data cataloging/governance tools (e.g., Atlan, Alation, Collibra) is a plus for governance-adjacent roles