ServiceCore

Get More Done & Stress Less with one tool built to supercharge liquid waste & roll-off businesses.

Director of Data & Analytics – Product & Strategy

DirectorDirectorFull TimeRemoteTeam 51-200H1B No SponsorCompany SiteLinkedIn

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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