Senior Manager, Data Science & Analytics: Scale Impact

korecv; United States; Hybrid; USD 195,000 - 260,000; Full time

Job summary

Sunrun, the leading residential solar and storage company in the United States, seeks a highly technical Senior Manager of Data Science & Analytics to consolidate a 20–30 person analytics team into a centralized, high-performing function. You will define analytics programs, oversee the Data Hub and a unified SQL layer, and establish metric definitions and governance across the company.

You will partner with Sales, Consumer Experience, and Operations to drive measurable growth, translate complex

Qualifications

• 8+ years of experience in Data Analytics, BI, or Applied Data Science, with 3+ years in a team lead role.
• Proven track record at Big Tech or high-growth tech startups with data-driven impact.
• Expert SQL skills and data warehousing architecture knowledge (Snowflake/BigQuery/Databricks).
• Hands-on experience building/governing a semantic/SQL layer with dbt or similar tools.
• Proficiency in Python or R for analysis and statistical modeling.
• Deep experience with modern BI platforms (Tableau/Looker/Sigma).

Responsibilities

• Centralize and scale a 20–30 analyst organization into a high-performing analytics function.
• Lead rollout of Sunrun's Data Hub and enterprise SQL semantic layer.
• Define metrics, governance, labeling standards across departments.
• Design scalable analytics architecture and standardized data products.
• Partner with Sales, Consumer Experience, and Operations to drive growth.
• Translate complex data into executive dashboards and actionable recommendations.

Skills

Leadership/people mgmt

SQL

Data warehousing

Python/R

BI platforms

Executive storytelling

Communication

Education

Master's degree

Bachelor's degree

Tools

dbt

Snowflake

BigQuery

Databricks

Tableau

Looker

Sigma

Job description

Sunrun, the leading residential solar and storage company in the United States, seeks a highly technical Senior Manager of Data Science & Analytics to consolidate a 20–30 person analytics team into a centralized, high-performing function. You will define analytics programs, oversee the Data Hub and a unified SQL layer, and establish metric definitions and governance across the company.

You will partner with Sales, Consumer Experience, and Operations to drive measurable growth, translate complex