Conceptual Data Modeler Security Clearance

Position: Conceptual Data Modeler with Security Clearance
Position

Description:

CGI Federal has an exciting opportunity for a Conceptual Data Modeler within our Intel sector advancing the national security mission through cutting edge technology. You must have a passion for keeping pace with rapidly evolving technology advancements and leveraging your knowledge on a highly collaborative team to deliver state-of-the-art capabilities. The Conceptual Data Modeler creates high-level diagrams of an organization's data, outlining core business concepts and their relationships to meet strategic goals.

Responsibilities include collaborating with stakeholders to understand business needs, defining key data entities and their connections, and creating visual representations that serve as a foundational blueprint for data architecture. They ensure data models align with business objectives, promoting data integrity, consistency, and a shared understanding of data assets across the organization.
CGI Federal is growing its high-performance team whose members share a passion for building high-quality, scalable, advanced IT solutions in a collaborative, fast-paced, outcome-driven mission. This position is located in USA VA Arlington, however, a hybrid working model is acceptable. Your future duties and responsibilities:
• Business Requirement Translation:
Work with business analysts and stakeholders to understand complex business requirements and translate them into a high-level data model view.
• Conceptual Model Development:
Create conceptual data models that identify and define the main data entities (e.g., customers, products) and the relationships between them, without getting into specific technical details.
• Strategic Alignment:
Ensure that the data models align with the organization's overall business strategy and objectives, providing a clear picture of the data landscape.
• Stakeholder Communication:
Communicate the conceptual data model to various teams, including business and technical staff, ensuring a common understanding of the data structure.
• Data Governance Support:
Contribute to data standardization and consistency by helping to define core data concepts, which aids in data governance and compliance efforts.
• Model Maintenance:
Maintain and update existing conceptual models to reflect changes in business processes or requirements. Required qualifications to be successful in this role:
Junior:

• Education and/or

Experience:

Bachelor's degree and/or 0 to 2 years of experience

• Security Clearance: TS/SCI required with the ability to obtain a TS/SCI with Poly highly desired

• Analytical Thinking:
Possess strong analytical skills to evaluate problems and develop appropriate data-related solutions.
• Communication

Skills:

Clearly articulate data concepts to both technical and non-technical audiences.
• Business Acumen:
Understand how data supports business functions and can translate business needs into data concepts.
• Data Modeling Tools:
Proficiency with data modeling tools and an understanding of conceptual, logical, and physical data modeling approaches.
•

Collaboration:

Ability to work effectively with various teams, including data architects, business analysts, and developers.
• Problem-Solving:
Creative thinking to identify and resolve issues related to data structure and flow. Senior:

• Education and/or

Experience:

Bachelor's degree and/or 5 to 10 years of experience

• Security Clearance: TS/SCI required with the ability to obtain a TS/SCI with Poly highly desired

• Analytical Thinking:
Possess strong analytical skills to evaluate problems and develop appropriate data-related solutions.
• Communication

Skills:

Clearly articulate data concepts to both technical and non-technical audiences.
• Business Acumen:
Understand how data supports business functions and can translate business needs into data concepts.
• Data Modeling Tools:
Proficiency with data modeling tools and an understanding of conceptual, logical, and physical data modeling approaches.
•

Collaboration:

Ability to work effectively with various teams, including data architects, business analysts, and developers.
• Problem-Solving:
Creative thinking to identify and resolve issues related to data…