Data AI Architect at MGMA-ACMPE Englewood

Job Description

Data AI Architect, MGMA-ACMPE. Englewood, CO. The Medical Group Management Association (MGMA) is seeking a Data AI Architect to join our Denver/hybrid team. This role designs, implements, and optimizes data & AI solutions to support the organization’s strategic goals and operational needs.

• Design data and AI/ML architectures to implement business strategies and roadmaps.
• Create and maintain data models that support business requirements.
• Collaborate with Data Governance and Security Leads to oversee and enhance data governance and security protocols to protect data integrity and confidentiality.
• Work closely with cross‑functional teams to understand data needs and ensure alignment with architectural standards.
• Evaluate and optimize data storage and retrieval systems to improve efficiency and performance.
• Establish and enforce data standards and best practices to ensure consistency and quality across the organization.
• Research and recommend new technologies and methodologies that can enhance data architecture and address evolving business needs.
• Other duties as required and necessary to ensure the success of the organization.

• None

• Ability to consistently promote, support, work, and act in a manner in support of MGMA’s mission, vision, and values/behaviors.
• Expertise in creating conceptual, logical, and physical data models that accurately represent business requirements and facilitate efficient data management and AI practices, and patterns.
• Expertise in modern data architectures.
• Strong knowledge of database management systems; data warehousing, lakehouse, and data lake solutions; and data integration and wrangling tools and approaches.
• Deep expertise in SQL, Python, R, and Bash.
• Strong expertise in machine learning algorithms and approaches.
• Practical experience with AI tools.
• Knowledge of MLOps best practices.
• Expertise in Power BI, Tableau, or similar applications for data visualization.
• Ability to implement and maintain data governance frameworks and security protocols to ensure data integrity, compliance, and protection.
• Awareness of current trends and emerging technologies that support organizational data maturity.

• Bachelor’s degree in computer science, data science, or relevant discipline, or equivalent skills developed through related work experience
• MS in data science or related field preferred

• Experience in designing and implementing modern data architectures on cloud platforms, preferably on Azure
• Experience developing data architecture, strategy, and roadmaps
  • Define data models, data flow diagrams, and architecture blueprints to guide the implementation of data solutions.
  • Create and maintain an enterprise architecture strategy that aligns with the organization's goals for managing and leveraging internal, product, and customer data.
• Architectural Design and Planning
  • Lead proof‑of‑concept initiatives to validate technology choices.
  • Design and document architecture blueprints that outline the structure and integration of data systems, applications, and technology infrastructure to support data management.
  • Present complex ideas and architectural designs to various stakeholders, including business stakeholders, engineers, and executives.
  • Familiarity with Agile/Scrum methodologies.
• Technology Evaluation and Selection
  • Identify, evaluate, and recommend technology solutions and platforms that enhance the organization's ability to capture, store, analyze, visualize, gain insight from, and utilize data effectively.
  • Routinely assess data storage solutions, ensuring alignment with security, compliance, and performance requirements.
  • Stay informed about emerging technologies and industry trends related to data management, data science and AI, and customer experience, and identify opportunities to innovate and enhance the enterprise architecture.
• Integration and Interoperability
  • Design scalable data integration frameworks that enable seamless data flow across diverse systems and platforms.
• Data Governance and Security
  • Integrate data governance tools into the data architecture, including managing ingestion processes, configuring…