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