Head of AI and Data Platform Engineering - Specialty Distribution
USD 165K-190K (estimate) Executive-level Full Time
Tasks
- Build CI CD pipelines and automated deployments
- Champion DevSecOps cloud and responsible AI practices
- Define data and AI strategy
- Deliver data and AI initiatives to production
- Deploy AI solutions into production
- Develop data and AI delivery roadmaps
- Ensure reliable operation of data services
- Establish data and AI architecture patterns
- Implement data product governance
- Implement responsible AI monitoring and governance
- Lead AI and data engineering talent development
- Lead data pipeline design and optimization
- Manage data and AI risk compliance
- Manage engineering backlog and enhancements
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | Artificial Intelligence | Automated testing | Azure | Azure AI | Azure AI Foundry | Azure Data | Azure Data Factory | Azure Data Lake | Azure DevOps | Azure Key Vault | Azure Synapse | Azure Synapse Analytics | Bicep | Branching Strategies | CI/CD | Cosmos DB | Data Engineering | Data Factory | Data Governance | Data Lake | Data Modeling | Data Pipelines | Data integration | Data orchestration | Data platform | Databricks | Delta Lake | Denodo | DevSecOps | Infrastructure as Code | Key Vault | Power BI | Python | Reporting pipelines | SQL | Semantic layer | Snowflake | Spark | Synapse Analytics | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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