Senior Manager, AI & Data Analytics
USD 165K-215K (estimate) Senior-level Full Time
Tasks
- Align stakeholders across global organization
- Apply prompt engineering and evaluation frameworks
- Architect data security controls and compliance
- Build and deploy AI agents and multi-agent systems
- Build dashboards and self serve reporting
- Define KPIs and business logic
- Define architecture standards and conduct architecture reviews
- Design AI ready data platform
- Design and govern enterprise data architecture
- Design build and maintain ELT ETL pipelines
- Design end to end analytics
- Develop BigQuery data models and optimization
- Drive adoption of data-driven decision making
- Engineer RAG pipelines
- Implement data mesh with Dataplex
- Implement pipeline observability and reliability checks
- Integrate generative AI into data workflows
- Integrate structured and unstructured data
- Lead and coach analytics team
- Manage contractors and vendor deliverables
- Manage data infrastructure with Terraform
- Monitor data quality and enforce data SLA
- Own data catalog metadata lineage and glossary
- Support feature engineering and Vertex AI Feature Store
- Translate insights into executive recommendations
Perks/Benefits
- N/A
Skills/Tech-stack
AI vector search | Agent Development Kit | Agent Development Kit ADK | AlloyDB | Apache Airflow | Apache Beam | BigQuery | Cloud Composer | Cloud Monitoring | Cloud platform | Clustering | DBT | Data Catalog | Data Governance | Data masking | Data mesh | Dataflow | Dataplex | Dimensional Modeling | Dynamic data | Dynamic data masking | ELT | ETL | Encryption | Feature Store | Gemini | Google Agent Development Kit | Google Agent Development Kit ADK | Google Cloud | Google Cloud Platform | IAM | LLM | Langchain | Langgraph | Looker | Looker Studio | MLOps | PGVector | PII Classification | Partitioning | PubSub | RAG | Service Controls | Terraform | VPC Service Controls | Vector Search | Vertex AI | Vertex AI Feature Store | Vertex AI Vector Search
Education
N/A
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