Vice President, Data Model Developer

• Design, develop, implement, and maintain various statistical and machine learning models
• Perform data cleaning and pre-processing tasks
• Monitor model performance in real-time to identify issues
• Advise key stakeholders on functional areas of impact and alignment
• Collaborate with other departments for business-aligned support

• Experience with leading the design and governance of enterprise‑grade data models
• Defining modelling standards, metadata structures, and regulatory expectations
• Driving modelling quality, versioning, and cross‑domain consistency at scale
• Partnering with engineering teams to optimise performance and guide workload placement across cloud platforms (AWS, Snowflake, Databricks)
• Influencing senior stakeholders across various teams to align on business rules and strategic priorities

Demonstrates expertise in designing and implementing statistical and machine learning models while ensuring data governance and quality across enterprise‑grade data models. Collaborates effectively with stakeholders to align business strategies and optimize performance across cloud platforms.

• Statistical And Machine Learning Model Development
• Data Cleaning And Pre-Processing
• Enterprise-Grade Data Model Governance
• Cloud Platform Optimization (AWS, Snowflake, Databricks)
• Stakeholder Influence And Collaboration

• Statistical Modeling
• Machine Learning
• Data Cleaning
• Data Pre-Processing
• Model Performance Monitoring
• Model Versioning
• Modelling Standards Definition
• Metadata Structure Design
• Cross-Domain Consistency
• Regulatory Compliance

• Collaboration
• Advising
• Influencing

• AWS
• Snowflake
• Databricks