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Senior Information Architect- Chicago, IL

Chicago, IL, United States

Job Title: Senior Information Architect

Location: Chicago, IL

Duration: Contract

Rate: DOE

(USC, GC, GCEAD and L2EADS are only preferred)

Job Summary: This role will support the impact of business information that will need to be available and shared consistently across the organization through the identification, definition, and analysis of how information assets aid strategies and business outcomes.

Responsibilities:

Responsible for implementation of data vision and strategy

Ensure adherence to strategies and the related commitments

Create and manage business information models in all their forms, including conceptual models, relational database designs, message models and others; use tools such as business information models to provide the organization with a future-state view of the information landscape that is unencumbered by the specific data implementation details imposed by proprietary solutions or technologies.

Provide analysis by using tools such as business capability models to create an information-centric view to quickly visualize what information matters most to the organization based on the defined business strategy

Interact regularly with management within the department and staff across Operations and Business functions. Help influence client expectations and provide appropriate alternatives, suggestions, and recommendations for innovative solutions.

Qualifications:

Bachelor's Degree

5-7 years of experience in data organization; CDO or equivalent, or in IT or Architecture, including information system design and data analysis.

Hands on experience of designing and implementing information or data solutions, as well as with innovation and ideation methods, such as design thinking.

Understanding of business domain, data/content, and process, as well as understanding of common information architecture frameworks and information models and metamodels, taxonomies and ontologies, as well as of the challenges of applying structured techniques (data modeling) to less-structured sources

Knowledge of Data modeling and information classification with knowledge of problem analysis, structured analysis and design, and programming techniques

Familiarity with MDM, business intelligence, and data lake and warehouse design and implementation techniques, as well as with distributed management and analytics in cloud and hybrid environments

Strong verbal/written communication skills

Strong trouble-shooting and organizational skills and ability to work on multiple projects simultaneously.

Highly Desired:

Experience as a data analyst is preferred

Hands-on experience supporting data and analytics programs is preferred

Familiarity with data science concepts

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