Vice President, Data Management & Quantitative Analysis
Pune, MH, India
INR 4111K-5199K (estimate) Executive-level Full Time
Tasks
- Build AI enabled data infrastructure
- Create metadata program for catalog lineage and classification
- Define data models and canonical forms
- Define reference architecture and roadmap
- Define semantic layers
- Deliver scalable pipelines data contracts and runtime governance
- Design data intelligence mesh with federated products and centralized guardrails
- Enable responsible AI with feature stores vector stores and model registries
- Enforce model and data versioning and reproducibility
- Establish metadata governance ownership and approval workflows
- Form data platform strategy
- Implement access and trust controls for regulated data
- Implement end to end data architecture ingest transform serve
- Maintain decision logs and evidence packs
- Perform data quality governance with validation profiling and anomaly detection
- Provide data health reporting and platform metrics
- Publish data quality scorecards
- Set privacy retention and acceptable use requirements
Perks/Benefits
- N/A
Skills/Tech-stack
Access Control | Anomaly Detection | Business Continuity | Canonical Data | Canonical Data Models | Data Architecture | Data Governance | Data Lake | Data Lineage | Data Modeling | Data Quality | Data Validation | Data Warehousing | Data models | Data orchestration | Data profiling | DataOps | Disaster Recovery | Embeddings | Explainability | Feature Stores | FinOps | MLOps | Metadata catalog | Model registries | Monitoring | Observability | Privacy Compliance | Python | Risk compliance | SQL | Segregation of Duties | Semantic layer | Streaming | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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