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analytics ai dbt data governance data platform📋 Description
- Define multi-year data platform strategy for AI-native access.
- Lead AI-enabled self-service analytics for stakeholders.
- Oversee data engineering to build scalable AI-ready infrastructure.
- Drive analytics engineering and semantic layer; create governed data models.
- Develop consumption-based data strategy surfacing revenue, finance, and product metrics.
- Establish data governance and quality frameworks across the enterprise.
🎯 Requirements
- 12+ years of progressive data leadership at high-growth SaaS.
- Deep expertise in modern data platform architecture.
- Proven track record transforming to self-service analytics.
- Strong understanding of consumption and usage-based business models.
- Experience leading analytics engineering, including dbt and semantic layers.
- Demonstrated ability to partner with C-level and VP stakeholders across functions.
🎁 Benefits
- Health, finances, and well-being benefits.
- Flexible paid time off.
- Team Member Resource Groups.
- Equity compensation & Employee Stock Purchase Plan.
- Growth and Development Fund.
- Parental leave.
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