Product Owner – Data Intelligence & AI
Tasks
- Author and validate test cases
- Create AI confidence routing rules
- Define cross domain data standards
- Define human-in-the-loop workflows
- Define source onboarding standards
- Embed AI driven enrichment matching decisioning
- Expand market geographic coverage
- Facilitate release rollout trade off decisions
- Onboard new data sources
- Own UAT sign off
- Own data and AI product roadmap
- Provide stakeholder visibility on outcomes
- Resolve cross domain data conflicts
- Run data quality reconciliation checks
- Set cross stream backlog priority
- Validate AI concepts with pilots
- Verify results with SQL and data checks
- Write user stories and acceptance criteria
Perks/Benefits
Skills/Tech-stack
Acceptance criteria | Agile | Confluence | Data Governance | Data Modeling | Data Quality | Data Reconciliation | Data Validation | Human-in-the-loop | Jira | Language Processing | Machine Learning | Natural Language | Natural Language Processing | Power BI | Python | SQL | Test cases | The Loop | User stories
Education
N/A
Roles
Data Product Manager | Manager | Product Manager | Product Owner
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