AccessHR, Inc.
Enterprise Data and AI/ML Solution Architect
AccessHR, Inc., Baltimore, Maryland, United States, 21276
Overview
Enterprise Data and AI/ML Solution Architect position to support CMS enterprise and project‑level data architecture products within the Centers for Medicare & Medicaid Services (CMS). The role contributes to defining and implementing CMS data and AI strategies, architectural artifacts, data modeling, metadata management, and governance practices in alignment with CMS Enterprise Architecture (EA) and Data Management policies. Clearance and Citizenship
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 Type
Full-Time, Mid to Senior Level Responsibilities
Assist in documenting data and technical 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. Collaborate with the Chief Enterprise Architect on Artificial Intelligence, Enterprise and Data Architecture, and Technical Reference Architecture. Support data integration and AI/LLM evolution within the organization’s Enterprise Architecture. Develop data 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 the CMS EA Framework, including integration with CEDAR and support for the CMS BRM and IRM. Support metadata and master data management initiatives in coordination with the Enterprise Data Group (EDG). Provide technical advice on AI, machine learning, HPC, containerization, dynamic scaling, blockchain, and other advanced technologies. Provide architectural guidance for data integration, data sharing, interoperability, and data quality best practices. Qualifications and Experience
Bachelor’s degree in Information Systems, Computer Engineering/Science, Data Science, or related field. 3+ years of experience in AI/ML. 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 data flow diagrams, data dictionaries, and data models. Experience with enterprise-level data infrastructure (databases, data warehouses, data lakes) and blueprints/frameworks for data storage, integration, and access across large organizations. Experience with relational and non-relational databases (e.g., Oracle, SQL Server, PostgreSQL, MongoDB). Experience integrating disparate data sources and supporting data modernization and interoperability initiatives. Experience documenting data-related policies and procedures aligned with enterprise and federal requirements. Knowledge, Skills and Abilities
Familiarity with data modeling tools (e.g., Sparx Enterprise Architect, Prolaborate, IBM Data Architect, ERwin). Familiarity with enterprise architecture frameworks (e.g., FEAF, ArchiMate, 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 (Tableau, Power BI). Experience integrating AI/LLMs into enterprise data architectures, including awareness of prompt engineering and ethical/legal considerations in a government context. Preferred Certifications
CDMP, TOGAF, and Cloud certifications (preferred). Experience with CMS data assets managed by the EDG or accessible via CMS’s CEDAR repository (preferred). Compensation and Benefits
Salary Range: $120,000.00 to $180,000.00. Final offer based on experience, qualifications, skill level, and location. PTO and 10 paid federal holidays Medical/Dental/Vision insurance and Health Savings Account Matching 401K Health Advocate & Concierge Services Training and development opportunities Employee recognition, events, and incentive programs Opportunity to work with leading-edge technology Community outreach and charity work Physical Demands
Primarily sedentary; may require occasional lifting up to 25 pounds and occasional bending, reaching, or kneeling. Prolonged computer use and visual focus are required.
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Enterprise Data and AI/ML Solution Architect position to support CMS enterprise and project‑level data architecture products within the Centers for Medicare & Medicaid Services (CMS). The role contributes to defining and implementing CMS data and AI strategies, architectural artifacts, data modeling, metadata management, and governance practices in alignment with CMS Enterprise Architecture (EA) and Data Management policies. Clearance and Citizenship
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 Type
Full-Time, Mid to Senior Level Responsibilities
Assist in documenting data and technical 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. Collaborate with the Chief Enterprise Architect on Artificial Intelligence, Enterprise and Data Architecture, and Technical Reference Architecture. Support data integration and AI/LLM evolution within the organization’s Enterprise Architecture. Develop data 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 the CMS EA Framework, including integration with CEDAR and support for the CMS BRM and IRM. Support metadata and master data management initiatives in coordination with the Enterprise Data Group (EDG). Provide technical advice on AI, machine learning, HPC, containerization, dynamic scaling, blockchain, and other advanced technologies. Provide architectural guidance for data integration, data sharing, interoperability, and data quality best practices. Qualifications and Experience
Bachelor’s degree in Information Systems, Computer Engineering/Science, Data Science, or related field. 3+ years of experience in AI/ML. 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 data flow diagrams, data dictionaries, and data models. Experience with enterprise-level data infrastructure (databases, data warehouses, data lakes) and blueprints/frameworks for data storage, integration, and access across large organizations. Experience with relational and non-relational databases (e.g., Oracle, SQL Server, PostgreSQL, MongoDB). Experience integrating disparate data sources and supporting data modernization and interoperability initiatives. Experience documenting data-related policies and procedures aligned with enterprise and federal requirements. Knowledge, Skills and Abilities
Familiarity with data modeling tools (e.g., Sparx Enterprise Architect, Prolaborate, IBM Data Architect, ERwin). Familiarity with enterprise architecture frameworks (e.g., FEAF, ArchiMate, 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 (Tableau, Power BI). Experience integrating AI/LLMs into enterprise data architectures, including awareness of prompt engineering and ethical/legal considerations in a government context. Preferred Certifications
CDMP, TOGAF, and Cloud certifications (preferred). Experience with CMS data assets managed by the EDG or accessible via CMS’s CEDAR repository (preferred). Compensation and Benefits
Salary Range: $120,000.00 to $180,000.00. Final offer based on experience, qualifications, skill level, and location. PTO and 10 paid federal holidays Medical/Dental/Vision insurance and Health Savings Account Matching 401K Health Advocate & Concierge Services Training and development opportunities Employee recognition, events, and incentive programs Opportunity to work with leading-edge technology Community outreach and charity work Physical Demands
Primarily sedentary; may require occasional lifting up to 25 pounds and occasional bending, reaching, or kneeling. Prolonged computer use and visual focus are required.
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