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- 100% Remote Opportunity
- Competitive Compensation Package
About Our Client
Our client is the Leading Athletic Recruiting and Path-to-College Solutions Provider in the United States with an overall mission of placing respective athletes in the schools of their dreams.
Job Description
Requirements
- Lead, Design, and Implement Data Solutions Across Entire Organization to Ensure Accurate Data in Real Time.
- Establish enterprise data architecture framework for Data Life Cycle Management.
- Design and Implement KPIs for monitoring purposes.
- Build Conceptual, Logical, and Physical Data Models.
- Lead Operational Implementation of Data Integration.
- Drive Total Organization to an Insight-Driven Culture.
MPI does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual's status in any group or class protected by applicable federal, state or local law. MPI encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants.
The Successful Applicant
The Successful Candidate Has:
- Expertise in Data Modeling and Data Relationships
- Strong Understanding of Data Architecture and Machine Learning Models
- Demonstrated Ability to Manage Challenging Situations
- Ability to Work in a Fast-Paced Environment
- Strong Understanding of Cloud-Based Information Patterns
- Awareness of Data Governance Protocols
- At Least 5 Years Experience in Operational and Analytical Data Architecture
- A Degree in Information Management or Information Technology
What's on Offer
- 100% Remote Opportunity
- Full Benefits (Medical/Dental/Vision + 401k Match)
- Quarterly Team Gathering Summits
- Competitive Compensation Package
- Ample Room for Growth in Company
Job summary
- Sector
- Information Technology
- Sub Sector
- IT Systems & Testing
- Industry
- Technology & Telecoms
- Location
- Chicago
- Contract Type
- Permanent
- Consultant name
- Danny Colon
- Job Reference
- JN-052022-5595300