Data Modeling - PLS - Manager

Role & responsibilities

Leading data modeling workstreams for client engagements and aligning deliverables with business needs

• Guiding teams in designing conceptual, logical, and physical data models for analytics and reporting solutions
• Developing data structures that support statistical analysis, machine learning, and predictive modeling use cases
• Reviewing source systems and datasets to identify relationships, dependencies, and data quality gaps
• Translating business requirements into scalable data architecture and modeling approaches
• Managing project scope, timelines, and deliverables across multiple client priorities
• Coaching team members on data science methods, modeling techniques, and technical problem-solving
• Applying programming, data engineering, and visualization tools to support model development and presentation of insights

What Sets You Apart

• Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering
• Demonstrating experience in data modeling, analytics, or data science projects
• Applying knowledge of data architecture, pipelines, and model design
• Leading project workstreams, mentoring team members, and reviewing deliverables
• Translating complex data findings into client-ready recommendations and actions
• Using Python, SQL, or visualization tools in delivering analytics solutions
• Collaborating across teams while navigating ambiguity and shifting priorities

Preferred candidate profile