Head of Data Science and Analytics
Skills
- Expertise in data architecture and large-scale system design
- Proficiency with ontologies, knowledge graphs, and semantic technologies
- Strong skills with graph databases such as Neo4j, Amazon Neptune, ArangoDB
- Programming experience in Python, Java, or Scala
- Experience with distributed systems and semantic standards (RDF, OWL, SKOS)
Responsibilities
- Build and scale end-to-end data, analytics, and reporting functions from the ground up
- Translate operating models into structured data schemas and ontologies for business insights
- Develop data pipelines integrating internal and external sources using BigQuery, SQL, and dbt
- Design and launch live dashboards and proactive notifications for leadership visibility
- Modularize reporting infrastructure to support evolving business needs
- Architect scalable data systems enabling real-time AI applications across multiple domains
- Lead creation of enterprise ontologies and semantic data models to unify disparate data
- Establish data governance frameworks to ensure data consistency, quality, security, and compliance
- Define and promote data standards, policies, and best practices
- Forward deploy analytics solutions across enterprise customers to support AI Agent use cases
Education
- Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems or related fields
Benefits
- Work in a cutting-edge AI-driven SaaS environment
- Opportunity to impact thousands of companies using modern CRM apps
- Culture focused on humility, honesty, hunger, and customer-centric mission
- Located in Palo Alto with access to a leading tech innovation hub
Average salary estimate
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