Sr. Manager, Data Science & Analytics

Role overview

This senior leadership role will bring a distributed analytics function together into a centralized organization and set the direction for how the business builds and uses analytics. The manager will partner with data engineering and business leaders to establish shared data definitions, a governed SQL layer, and scalable reporting, while coaching a lean team to deliver measurable business and operational outcomes.

Responsibilities - Centralize and streamline a group of roughly 20–30 analysts embedded across business units, shaping the organization and raising its technical capability. - Establish intake, prioritization, and delivery practices that balance executive requests with reusable data products. - Partner with data engineering to develop a central data hub and enterprise SQL semantic layer. - Define and govern common metrics, business definitions, and scoring standards across the organization. - Coach analysts, support career development, and set a high bar for technical quality and business relevance. - Communicate performance insights and operational recommendations through executive dashboards and regular reporting.

Requirements - At least eight years in data analytics, business intelligence, or applied data science, including three or more years leading or managing analysts. - Demonstrated experience in a major technology company or high-growth technology environment with a strong data culture. - Expert SQL capability and deep understanding of data warehouse architecture, such as Snowflake, BigQuery, or Databricks. - Hands-on experience building or governing a semantic or SQL layer, using tools such as dbt or a metrics platform. - Proficiency in Python or R for exploratory analysis and statistical modeling. - Extensive experience with modern BI platforms, such as Tableau, Looker, or Sigma, and a focus on lean execution and measurable results. - Comfort creating structure in ambiguous settings and guiding teams through organizational change.

Nice to have

A master’s degree in a quantitative or technical field; experience with consumer metrics, multi-channel sales funnels, operational logistics, clean energy, IoT data, or subscription business models.