Apply on Employer Site

ERP International · 3 months ago

Enterprise Data and AI/ML Solution Architect

US-MD-Laurel

Full-time

Hybrid

Mid, Senior Level

$120K/yr - $180K/yr

5+ years exp

ERP International is a respected provider of health, science, and technology solutions. They are seeking a Mid to Senior Level Enterprise Data and AI/ML Solution Architect to support the development and maintenance of data architecture products for the Centers for Medicare & Medicaid Services (CMS). The role involves defining and implementing data and AI strategies, collaborating with stakeholders, and ensuring compliance with enterprise standards.

B2BGovernmentHealth CareManagement Consulting

Comp. & Benefits

No H1B

U.S. Citizen Only

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 organization's 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

Qualification

Artificial IntelligenceMachine LearningData ArchitectureData ModelingData IntegrationData GovernanceETL ToolsData AnalyticsCloud CertificationsCommunication SkillsTeam CollaborationProblem Solving

Required

Bachelor's degree in Information Systems, Computer Engineering/Science, Data Science, or a related field

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

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

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

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

Preferred

Understanding of CMS data domains, healthcare data standards, or government data governance practices (preferred)

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

Hold certifications such as CDMP, TOGAF, and Cloud certifications

Experience with CMS data assets, including those governed by the EDG or accessible through CMS's CEDAR repository