Manager, Advanced Analytics and Enterprise Insights
Tasks
- Build embeddings pipelines and vector indexing
- Define retrieval contracts for agents
- Design end-to-end solution architectures
- Enable hybrid retrieval keyword vector and metadata
- Establish pipelines as code standards
- Implement CI CD for data and AI pipelines
- Implement permission-aware retrieval
- Improve operations with observability and runbooks
- Lead mentor AI data engineers
- Maintain documentation for data products and processes
- Mitigate risks in data and pipelines
- Oversee data pipeline delivery
- Perform technical and PR reviews
- Prepare structured data for AI ready datasets
- Prepare unstructured data for AI ready datasets
- Translate architecture into engineering execution
Perks/Benefits
- 401k matching
- Career development opportunities
- Employee resource groups
- Fitness reimbursement
- Flexible work schedule
- Health insurance
- Incident response support
- Mental wellbeing support
- On-demand learning
- Paid time off
- Parental leave
- Stock purchase plan
- Tuition reimbursement
- Volunteer opportunities
- Wellness incentive program
Skills/Tech-stack
AI Search | Access Control | Airflow | Audit Logging | Automated testing | Azure AI | Azure AI Search | CI/CD | CloudFormation | Data Contracts | Data Governance | Data Quality | Data quality monitoring | Databricks | Databricks Workflows | Elasticsearch | Embeddings | Git | Hybrid retrieval | Infrastructure as Code | Metadata enrichment | Microsoft Fabric | Observability | OpenSearch | PII handling | Palantir | Python | Quality monitoring | SQL | Schema Validation | Snowflake | Terraform | Vector Databases | Vector Search | Vector indexing | “as-code”
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