Sr. Manager, Data Science & Analytics
SunrunRemote
Full Time
Posted November 5, 2026
$195k - $260k
Solar Energy
Remote
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Listing evidence and provenance
- Source
- Workday View original listing
- Freshness
- Open in the current public read path; this is not an employer guarantee.Last observed November 6, 2026
- Classification
- Modern power-system classification not yet published for this listing.Legacy source industry field: Solar Energy
- Pay provenance
- Employer-provided pay
Job Description
Danielle Levitan (danielle.levitan@sunrun.com)
Key Responsibilities
- Sunrun is the undisputed leader in residential clean energy, pioneering the multi-billion-dollar solar-as-a-subscription asset class. We don’t just install solar hardware; we originate, scale, and manage a decentralized energy infrastructure network. By transforming residential roofs into networked virtual power plants and intelligent grid assets, Sunrun is fundamentally rewriting the mechanics of whole-home electrification and energy distribution. Our organization thrives on high-velocity commercial performance, disciplined operational scaling, and an unwavering commitment to maintaining the absolute best talent engine in the climate-tech sector. For executive revenue leaders, Sunrun offers the complexity of an enterprise infrastructure business paired with the agility of a high-growth platform.
- We are seeking a highly technical, efficiency-minded Senior Manager of Data Science & Analytics to lead, reshape, and scale our business intelligence and analytics functions.
- Currently, 20 to 30 analysts are embedded across various business units. You will serve as the single point of leadership to centralize this function, streamline the organization, and uplevel the team.
- You will be responsible for defining what analytics should be built across Sunrun and how to scale them. This includes leading the rollout of Sunrun’s core Data Hub and centralized SQL layer—establishing metric definitions, governance, and scoring standardizations across the entire company.
- The ideal candidate brings experience from leading Tech environments (e.g., Meta, Stripe, fast-scaling consumer tech startups) where data directly drives revenue, customer impact, and operational efficiency in fast-moving, unstructured settings.
- ESSENTIAL DUTIES AND RESPONSIBILITIES
- Organizational Strategy, Centralization & Scale
- Unify & Streamline: Transition 20–30 distributed analysts across the business into a centralized, high-performing analytics org. Lead necessary org restructuring (streamlining down and upleveling capability) to build a lean, high-bar team.
- Thrive in Ambiguity: Build structure where none exists—design agile workflows, intake models, and clear prioritization frameworks to balance executive requests with scalable data products.
- Culture & Mentorship: Elevate analytical talent through hands-on technical coaching, career development, and setting a high technical bar for business intelligence.
- Data Hub, SQL Layer & Metric Standardization
- Build the SQL Layer: Partner with Data Engineering on Sunrun's centralized Data Hub initiative. Own the enterprise SQL semantic layer, establishing canonical metrics, labeling standards, and standardized business definitions across all departments.
- Business Scoring & Frameworks: Design unified scoring models and frameworks across sales, consumer acquisition, and operational touchpoints to evaluate business performance accurately.
- Scalable Analytics Architecture: Architect reporting frameworks that scale—moving the company away from ad-hoc spreadsheets toward standardized, automated data products.
- Business Partnership & Measurable Impact (Sales & Consumer)
- Drive Commercial Growth: Work closely with Sales, Consumer Experience, and Operations leaders to deliver actionable insights that directly move the needle on unit economics, sales funnel conversion, and customer LTV.
- Focus on Applied Analytics: Deliver practical, high-impact business analytics rather than theoretical or pure R&D data science.
- Executive Storytelling: Translate complex multidimensional data into clear executive dashboards, key performance metrics, and operational recommendations for executive leadership.
Requirements
- Experience: 8+ years of experience in Data Analytics, Business Intelligence, or Applied Data Science, with 3+ years in a team lead or management role overseeing analysts.
- Tech Background: Proven track record at Big Tech (Meta, Stripe, etc.) or high-growth tech startups known for best-in-class data cultures.
- Technical Rigor: Exceptional, expert-level SQL skills and deep understanding of data warehousing architecture (Snowflake, BigQuery, Databricks). Hands-on experience building/governing a semantic/SQL layer (e.g., using dbt or modern metrics platforms) to standardize enterprise data. Proficiency in Python or R for exploratory data analysis and statistical modeling. Deep experience with modern BI platforms (Tableau, Looker, Sigma, etc.).
- Efficiency & Results Mindset: Highly focused on efficiency, lean execution, and measurable business outcomes.
- Adaptability: Comfort operating with low structure, wearing multiple hats, and navigating organizational change management.
- Master’s degree in Computer Science, Data Analytics, Economics, Engineering, or a related quantitative field.
- Experience with consumer-facing metrics, multi-channel sales funnels, or operational logistics.
- Background in clean energy, IoT telemetry, or subscription business models.
Ready to Apply?
Apply directly on Sunrun's site
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