ServiceCore
Get More Done & Stress Less with one tool built to supercharge liquid waste & roll-off businesses.
Director of Data & Analytics – Product & Strategy
Location
United States
Posted
10 days ago
Salary
$225K / year
Bachelor Degree10 yrs expEnglishBig QueryETL
Job Description
• Full accountability for the growth, performance management, and hiring of the Data & Analytics team.
• Own the end-to-end execution of the team’s strategy.
• Proactively define the roadmap for in-product analytics and reporting features across our entire SaaS portfolio.
• Own the end-to-end launch of data products.
• Act as the strategic technical lead in high-stakes customer meetings.
• Masterfully balance three competing workstreams: Product Analytics, Internal BI, and Enterprise Custom Needs.
Job Requirements
- 10+ years of experience in Data/Analytics, with a proven track record working in Software-as-a-Service product companies multiple times.
- At least 3 years of experience in a Director-level role leading cross-functional teams, with full responsibility for hiring and performance management.
- You must have "hands-on" roots, with prior experience in Data Engineer or Data Analyst roles.
- You possess deep practical knowledge of data lakes, data warehouses, ETL pipelines, and BI suites.
- Technical and practical understanding of the modern data landscape, including familiarity with tools such as Snowflake, BigQuery, Databricks, PowerBI, Sisense, Looker, or similar.
- Recent experience must be focused on leading teams with an emphasis on external product-embedded or adjacent reporting, including direct responsibility for product management and GTM execution.
- Proven experience not only building product functionality but successfully launching it to customers and driving measurable engagement.
- Demonstrated experience managing data strategies for a portfolio of products, ensuring consistency in data governance and user experience across different applications.
- Demonstrated in-the-product experiences which involve the use of AI/ML capabilities used in customer-facing reporting and data insights.
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