Process Improvement, VP
Bangalore, India
INR 4000K-6000K (estimate) Executive-level Full Time
Tasks
- Act as data steward for data quality lineage and lifecycle management
- Collaborate across engineering AI platform and business teams to prioritize use cases
- Define agent action constraints and data quality gates
- Define enforce data standards controls and documentation
- Design build and operate scalable resilient data pipelines
- Embed data quality and control checks before AI driven actions
- Enable AI and intelligent automation with governed inputs
- Ensure auditability and traceability through decision logs and lineage
- Ensure data pipelines are observable reliable and production ready
- Establish data quality rules and exception taxonomies
- Implement human in the loop triggers
- Integrate data from internal and external sources
- Model store and serve large-scale datasets
- Monitor data quality dashboards triage issues and coordinate remediation
- Partner with product owners on data definitions and metrics
- Translate business control requirements into data level and AI control mechanisms
Perks/Benefits
- Employee networks
- Flexible work/life support
- Inclusive development opportunities
- Paid volunteer days
Skills/Tech-stack
API Integration | Auditability | CSV | Data Catalog | Data Engineering | Data Governance | Data Lakes | Data Lineage | Data Modeling | Data Quality | Data Warehousing | ELT | ETL | Generative AI | Human-in-the-loop | Machine Learning | Python | SQL | The Loop | Workflow Orchestration | XML
Education
N/A
Roles
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