Enterprise Data and AIML Solution Architect
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Job Location:
Monthly Salary:
Experience Required:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Organizational Overview
Our client is a nationally respected provider of health science and technology solutions supporting clients in the government and commercial sectors. They provide comprehensive enterprise information technology strategic sourcing and management solutions to DoD and federal civilian agencies in 40 states.
Clearance and Citizenship Requirements: Candidate must be a U.S. Citizen or Green Card holder due to federal contracting requirements and have the ability to pass a Public Trust background investigation.
Position Summary
Our client is currently seeking Full-Time a Mid to Senior Level Enterprise Data and AI/ML Solution Architect to support the development and maintenance of the CMS enterprise and project level data architecture products within the Centers for Medicare & Medicaid Services (CMS). This role will help define and implement CMSs data and AI strategies by contributing to architectural artifacts data modeling metadata management and governance practices ensuring alignment with CMSs Enterprise Architecture (EA) and Data Management policies. Qualified candidates are urged to apply to learn more about this great opportunity!
Primary Responsibilities
- Assist in the documentation of data and technical related policies standards and procedures.
- Prepare and conduct customer presentations and briefings.
- Design and maintain logical and conceptual data models in support of CMS enterprise and project-level initiatives.
- Work closely with Chief Enterprise Architect on Artificial Intelligence Enterprise and Data Architecture and Technical Reference Architecture.
- Support data integration and Artificial Intelligence (AI) / Large Language Model (LLM) evolution within organizations Enterprise Architecture.
- Develop data and other architecture products such as data flow diagrams data dictionaries and canonical data models to support modernization and interoperability.
- Collaborate with CMS stakeholders enterprise architects and system owners to identify data requirements and align them with enterprise standards.
- Ensure compliance with CMS EA Framework including integration with CEDAR and support for the CMS Business Reference Model (BRM) and Information Reference Model (IRM).
- Support metadata and master data management initiatives in coordination with the Enterprise Data Group (EDG).
- Provide technical advice on Artificial Intelligence Machine Learning High Performance Computing containerization dynamic scaling blockchain and other advanced technology development.
- Provide architectural guidance for data integration data sharing interoperability and data quality best practices.
Requirements
Education Certifications and Years of Experience
- Bachelors degree in Information Systems Computer Engineering/Science Data Science or a related field.
Required Experience:
- 3 years experience in Artificial Intelligence/Machine Learning
- 5 years of experience in data architecture data modeling or enterprise data design.
- Hands-on experience designing and maintaining logical and conceptual data models including the creation of data flow diagrams data dictionaries and data models.
- Experience in designing and managing enterprise-level data infrastructure (databases data warehouses data lakes) and developing blueprints/frameworks for data storage integration and access across large organizations
- Experience working with relational and non-relational databases (e.g. Oracle SQL Server PostgreSQL MongoDB).
- Practical experience in integrating disparate data sources and supporting data modernization and interoperability initiatives.
- Experience in the development and documentation of data-related policies standards and procedures ensuring alignment with enterprise and federal requirements.
Required Knowledge Skills and Abilities
- Familiarity in data modeling tools such as Sparx Enterprise Architect Prolaborate IBM Data Architect or ERwin.
- Familiarity with enterprise architecture frameworks such as FEAF ArchiMate or DODAF.
- Understanding of CMS data domains healthcare data standards or government data governance practices (preferred).
- Knowledge of federal data strategy and compliance requirements (e.g. HIPAA FISMA).
- Familiarity with ETL tools and data integration platforms.
- Understanding of data analytics and reporting tools such as Tableau or Power BI.
- Prefer experience supporting the integration of Artificial Intelligence (AI) and Large Language Models (LLMs) into enterprise data architectures. This includes understanding AI/LLM capabilities prompt engineering and the ethical/legal considerations of deploying these technologies in a government context.
Preferred Experience:
Hold certifications such as CDMP TOGAF and Cloud certifications.
Experience with CMS data assets including those governed by the EDG or accessible through CMSs CEDAR repository.
Benefits
Compensation
Salary Range: $120000.00 to $180000.00
The salary range for this position is determined based on a variety of factors including but not limited to experience qualifications skill level and location. The final salary offer will fall within this range and will be commensurate with the candidates background and the specific demands of the role.
Benefits
- PTO and 10 Paid Federal Holidays
- Medical/Dental/Vision and Health Savings Account
- Matching 401K
- Health Advocate & Concierge Services!
- Unlimited Job- Related Training & Development!
- Employee Recognition & Incentive Programs!
- Employee Appreciation & Company Sponsored Events!
- Opportunity to work with leading-edge technology!
- Community Outreach & Charity Work!
This position primarily involves sedentary work in an office or remote setting. The employee is regularly required to sit use hands and fingers to operate computers and related equipment and communicate verbally and in writing. Occasional lifting and carrying of equipment up to 25 pounds may be required. The role may also involve bending reaching or kneeling when setting up or troubleshooting hardware. Visual acuity is necessary for prolonged use of computer monitors and diagnosing technical issues.
Required Skills:
Minimum Experience: 5 years of experience
Required Education:
Bachelors degree in Information Systems Computer Engineering/Science Data Science or a related field.
Company Industry
IT Services and IT Consulting
Key Skills
- Business Process
- VMware
- Cloud
- HTML5
- Windows
- Project managements
- AWS
- Infrastructure
- Web Services
- JQuery
- Java
- Computer Engineering
- Solutions design
- Technical Solutions
- Analytics
