VP, Data Platforms
San Francisco, United States
USD 200K-245K (estimate) Executive-level Full Time
Tasks
- Build self service analytics and activation tooling
- Define data platform strategy architecture and roadmap
- Ensure platform security risk management and regulatory compliance
- Establish data governance standards metadata lineage quality and privacy
- Implement AI enablement with feature stores and MLOps
- Lead Data SRE reliability observability and production support
- Lead and develop data and platform engineering teams
- Modernize data ecosystem for scalability and resiliency
- Operate enterprise data lifecycle from ingestion to BI and AI
- Own customer data foundation and canonical data models
- Partner with executives and business stakeholders on data and AI investments
Perks/Benefits
- 401k match
- Flexible time off
- Health and wellness programs
- Hybrid work model
- Medical, dental, and vision plans
- Paid parental leave
- Relocation assistance
Skills/Tech-stack
Analytics | Business Intelligence | Cloud Computing | Customer Data | Customer Data Platform | DBT | Data Catalog | Data Governance | Data Lineage | Data Modeling | Data Quality | Data platform | Databricks | Enterprise Architecture | Feature Store | Fivetran | Incident Management | MLOps | Machine Learning | Metadata Management | Observability | Privacy Compliance | Production Support | Regulatory Compliance | Reliability Engineering | Site Reliability | Site Reliability Engineering
Education
Regions
Countries
States
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