Technical Product Owner - Lead Data AI Engineer
Tasks
- Build governed reusable data assets
- Define technical roadmaps and delivery plans
- Design AI data platform strategy
- Design cloud-native data platforms
- Drive data quality, observability, lineage, monitoring
- Enable feature stores and model deployment pipelines
- Ensure security, privacy, and data governance compliance
- Establish OKRs and KPIs
- Facilitate sprint planning backlog refinement technical reviews
- Implement MLOps and DataOps practices
- Implement batch streaming and real time ingestion
- Implement infrastructure-as-code
- Lead Agile squad delivery
- Lead scalable data pipeline development
- Monitor platform adoption data quality and delivery metrics
- Own AI data engineering product backlog
- Partner with stakeholders and architects
- Set up CI CD monitoring and observability
- Translate business requirements into data solutions
Perks/Benefits
- Bereavement leave
- Caregiver leave
- Health insurance options
- Parental leave
- Recognition awards
- Vacation days
- Volunteer leave
- Well-being reimbursement
Skills/Tech-stack
AWS | Agile | Azure | CI/CD | Data Engineering | Data Governance | Data Lakes | Data Quality | Data Warehousing | DataOps | ELT | ETL | Feature Store | Generative AI | Google Cloud | Infrastructure as Code | KPI | LLM | Lakehouse | MLOps | Machine Learning | Metadata Management | Monitoring | OKRs | Observability | Python | RAG | SQL | Scrum | Vector Database | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer | Product Owner | Technical Product Owner
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