About the Role
The individual will design and implement data frameworks that support artificial intelligence applications, ensuring accuracy, scalability, and alignment with business objectives.
Responsibilities
- Lead the design and deployment of data pipelines supporting AI and machine learning workflows
- Collaborate with engineering and product teams to integrate AI tools into existing systems
- Develop and maintain scalable data models and ETL processes
- Ensure data quality and consistency across AI training and inference environments
- Translate business requirements into technical data specifications
- Monitor performance of AI-driven data systems and recommend improvements
- Support the creation of automated reporting and analytics tools
- Optimize data storage and retrieval for AI workloads
- Establish best practices for data governance within AI projects
- Conduct root cause analysis on data discrepancies affecting AI outputs
- Drive documentation standards for data pipelines and tooling
- Evaluate new data technologies to enhance AI capabilities
- Work closely with data scientists to refine feature engineering processes
- Improve metadata management for better model interpretability
- Assist in defining KPIs for AI system effectiveness
- Troubleshoot data-related issues in production AI environments
- Ensure compliance with data privacy regulations in AI applications
- Facilitate knowledge sharing across data and machine learning teams
- Contribute to architectural decisions for data infrastructure
- Promote reusability and standardization of AI data components
- Support model monitoring through reliable data tracking
- Identify opportunities to reduce data processing latency
- Enhance data validation frameworks for AI inputs
- Partner with stakeholders to align data strategy with AI goals
- Drive initiatives to improve data accessibility for AI teams
Compensation
Competitive salary with equity and benefits package
Work Arrangement
Hybrid work model with flexibility for remote work
Team
Cross-functional team focused on data infrastructure and AI integration
Why This Role Matters
- This position plays a critical role in shaping how AI systems leverage data across the organization, ensuring models are trained on accurate, timely, and relevant datasets.
- The analyst will bridge gaps between data infrastructure and AI innovation, directly influencing product capabilities and operational efficiency.
What We Value
- Ownership of data solutions from concept to production
- Clear communication across technical and non-technical stakeholders
- Commitment to data integrity and ethical AI practices
- Curiosity and drive to solve complex analytical challenges
Growth Opportunities
- Opportunity to shape the future of AI tooling within a growing organization
- Access to leadership roles in data and machine learning domains
- Regular exposure to cutting-edge data technologies and frameworks
- Support for continuous learning and professional development
Available for qualified candidates requiring work authorization
