Senior Director, Data and AI Engineering
Tasks
- Apply infrastructure as code
- Automate engineering workflows
- Build analytics engineering pipelines
- Define data ML and AI engineering strategy
- Develop ML platforms
- Develop and lead high-performing teams
- Drive modern data engineering practices
- Embed security governance and data quality by design
- Enable AI adoption
- Enforce privacy compliance and ethical AI
- Ensure observability
- Establish scalable data ML and AI platforms
- Implement CI/CD
- Lead AI and data engineering center of excellence
- Manage vendor partnerships
- Provide thought leadership on emerging AI ML and data technologies
- Set engineering standards patterns and frameworks
Perks/Benefits
- Additional leave days
- Carer neutral parental leave
- Employee Learning and Development
- Employee discounts
- Flexible working
- Free confidential counseling services
- Gym access
- Hybrid working
- On-site childcare
- Paid parental leave
- Wellbeing services
Skills/Tech-stack
Artificial Intelligence | Automation | CI/CD | Cloud | Data Engineering | Data Governance | Data Quality | Ethical AI | Infrastructure as Code | MLOps | Machine Learning | Observability | Privacy | Regulatory Compliance | Security | “as-code”
Education
N/A
Regions
Countries
States
Cities
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