Sr. Data Modeling Specialist

Position: Sr. Data Modeling Specialist

Duration: 12 months

Location: California (Remote Work)

Introduction:

The California Public Employees' Retirement System (CalPERS) TBMD is engaging in services with [Company Name] to provide the following services:

The Analytics Specialist will be responsible for designing and implementing comprehensive data models that support CalPERS' analytics and business needs. Their work will encompass creating models that consist of data pipelines, the structure of the data, physical and virtual instances of the data, and optimizing for the analytics performed on the modeled data.

Key responsibilities include:

Data Modelling and Design Develop and maintain traditional data models for relational databases; Design application-supporting data models using advanced methodologies such as relational modelling, medallion architecture, and data modelling for cloud environments; Create data models tailored for artificial intelligence machine learning use cases specific to CalPERS' needs.

Tool Proficiency Utilize Erwin Data Modeler software to design and maintain data models; Utilize Power BI to model data for visualization and analytics.

Publishing and Documentation Support publishing and maintenance of data models on the CalPERS intranet for organizational access; Create, document, and maintain analytical models to ensure data literacy and usability by business users.

Knowledge Transfer Provide data modelling knowledge transfer sessions to ITSB team members and key business stakeholders, ensuring they understand and can apply relevant concepts and practices, and take ownership of all models created by the contractor. Advise the development and maintenance of data models by state staff.

Project Scope/Tasks

The scope of this project encompasses the following tasks:

Deliverable 1: Design, Develop, and Maintain Relational, Cloud-Based, Power BI, and AI/ Machine Learning-Specific Data Models.

The consultant will design, develop, and maintain data models tailored to meet the organization's needs. This includes creating relational data models to support traditional reporting and analytics, as well as cloud-based data models leveraging modern architectures to enable scalability, performance, and efficient data processing. The consultant will also optimize Power BI data models to ensure fast, reliable, and user-friendly reporting and visualization. Additionally, the consultant will develop AI/Machine Learning-specific data models to support advanced analytics workflows, including feature engineering, data preparation, and integration with AI/ML tools. These models will be designed to align with the organization's business objectives, ensuring data accuracy, consistency, and usability across all platforms.

The consultant will also be responsible for publishing data models to the appropriate platforms, ensuring they are accessible, secure, and optimized for use by stakeholders. This includes publishing models to cloud environments, Power BI, and other relevant systems as required. Comprehensive documentation will accompany all data models, detailing their structure, purpose, and usage. The documentation will include data dictionaries, entity- relationship diagrams, and step-by-step instructions for maintaining and updating the models. This ensures that the models are transparent, easy to understand, and can be effectively utilized by both technical and non-technical users.

Deliverable 2: Knowledge Transfer

The consultant will conduct regular training sessions tailored to the skill levels of our team members. These sessions will focus on:

• Key concepts and tools related to cloud-based data modelling, Power BI, and AI/ML.
• Q&A sessions to address specific challenges or questions from the team.

Training will be designed to build confidence and competence, enabling team members to take ownership of the systems and processes.

The consultant will also work closely with our existing team members throughout the engagement, fostering a collaborative environment where knowledge sharing is a core focus. This hands-on approach ensures that team members are actively involved in the design, development, and maintenance of the data models, rather than being passive observers. By embedding team members in the process, they will gain practical, real-world experience under the guidance of the consultant.

Project Deliverables or Work Products:

Fixed deliverables are identified below. completion for each deliverable must be included.