- Design and implement robust information management strategies and architectures to ensure data accessibility, integrity, and security across the organization.- Lead the development and deployment of machine learning pipelines and infrastructure to support scalable and efficient ML model training and deployment.

- Develop and maintain enterprise-wide information architecture frameworks and standards to support business objectives and IT infrastructure.- Collaborate with business stakeholders and IT teams to design data models, schemas, and integration patterns for efficient data flow and accessibility.- Implement metadata management processes and tools to catalog and govern data assets, ensuring consistency and traceability.- Conduct data architecture reviews and assessments to identify opportunities for optimization and innovation in data management practices.

- Provide strategic guidance and expertise in database design, implementation, and optimization across various platforms.- Lead database performance tuning efforts to enhance query efficiency, scalability, and reliability for mission-critical applications and services.- Develop data migration strategies and execute seamless transitions between database systems while minimizing downtime and data loss risks.