Data AI Architect

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Job Summary:

Medical Group Management Association (MGMA) is dedicated to advancing the business of healthcare and empowering medical practices through data and insights. They are seeking a Data AI Architect to design, implement, and optimize data and AI solutions that align with the organization's strategic goals and operational needs.

Responsibilities:

• 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 the 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.

Qualifications:

Required:

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

• 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

• 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

• 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

• 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…