Vice President, Data & Insights
United StatesFull-TimeVp
Salary not disclosed
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Job Details
- Experience
- 12+ years
- Required Skills
- Artificial IntelligenceData modelingSaaS
Requirements
- 12+ years of progressive experience in data leadership roles
- 5+ years managing large, cross-functional data teams in high-growth environments
- Strong expertise in modern data platform architecture
- Experience with data modeling, certified datasets, and scalable analytics infrastructure
- Proven success in building or leading self-service analytics transformations within complex organizations
- Deep understanding of SaaS or usage-based business models, including metrics, telemetry, and revenue-driven analytics
- Experience with analytics engineering practices, including semantic layers and modern data transformation tools
- Strong executive presence with the ability to influence and partner with C-level stakeholders
- Track record of leading distributed, remote-first teams
- Strategic and forward-thinking mindset with the ability to evaluate and adopt emerging AI and data technologies effectively
Responsibilities
- Define and execute a long-term data and analytics strategy, including modern data platform architecture, certified datasets, and scalable governance frameworks
- Lead the shift toward AI-enabled, self-service analytics, reducing dependency on manual reporting and enabling autonomous insights for business teams
- Oversee data engineering, analytics engineering, governance, and embedded analytics functions to ensure scalable, reliable, and high-quality data systems
- Develop and maintain governed semantic layers and reusable data models that serve as trusted enterprise-wide data products
- Establish data quality, lineage, access control, and compliance standards to strengthen trust and consistency in data usage
- Partner with executive leadership across multiple functions to translate business needs into scalable data solutions and strategic insights
- Drive adoption of AI, emerging analytics tools, and modern data practices to continuously evolve the organization’s data capabilities
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