Data AI Architect at MGMA Consulting

Englewood, Colorado, United States -

Full Time

Start Date

Immediate

Expiry Date

22 Jan, 26

Salary

175000.0

Posted On

24 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Architecture, AI Solutions, Data Governance, Data Security, SQL, Python, R, Bash, Machine Learning, Data Visualization, Power BI, Tableau, Cloud Platforms, Data Integration, MLOps, Agile

Industry

Hospitals and Health Care

Description

Description Living the vision of "Advancing the business of healthcare today for a better tomorrow," Medical Group Management Association (MGMA) works to perpetuate success throughout the healthcare industry as the premier association for professionals who lead medical practices. Since 1926, through data, people, insights, and advocacy, MGMA empowers medical group practices to innovate and create meaningful change in healthcare. We believe the future is what you make it, and we’re here to support the people who are ready to make the world a better place. Tomorrow will be remarkable because MGMA is here to help. The Medical Group Management Association MGMA is looking for a Data AI Architect to join our Denver/hybrid team. The Data AI Architect is responsible for designing, implementing, and optimizing the organization’s data & AI solutions to ensure they support the strategic goals and operational needs of the business. This involves creating robust and reliable data solutions, implementing data governance practices, and ensuring data integrity, security, and accessibility across the organization. Requirements Essential Functions 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. Other duties as required and necessary to ensure the success of the organization. Supervisory Duties: None Knowledge, skills, and abilities 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. Education 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: 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 data connections, and ensuring alignment to governance standards to maintain data quality, compliance, and security across systems. A combination of experience and education will be considered in lieu of education and experience requirements. Additional Requirements/Licenses/Certifications Must have reliable transportation. Must have a valid driver’s license. Working environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Work is generally performed in an indoor, professional office environment. Will need to attend conferences and MGMA events in various locations around the United States on a regular basis. This role routinely uses standard office equipment such as computers, phones, photocopiers, fax machines, and scanners. Regular, predictable attendance is required. Physical Activities The physical demands described here are representative of those that must be met by employees in this role, to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, employee is regularly required to successfully interact and accurately exchange information using the following suite of verbal and non-verbal communication skills critical to expressing oneself and conducting professional interactions on behalf of the business: Ability to read, write, edit Ability to converse, discuss, convey Also includes interactive engagement with software applications, computer graphics, and the ability to conduct internet research. While performing the duties of this job, employee is regularly required to successfully navigate scenarios requiring the following observational abilities: Ability to perceive, identify, recognize Ability to detect, determine, discern, judge Ability to assess, estimate, compare This is a largely sedentary role, so employee must be able to remain in a sedentary position while focusing for extended periods of time throughout the workday. Position also requires occasional movement inside the office to access file cabinets, printers, etc. While performing the duties of this job, employee is regularly required to successfully navigate scenarios requiring the following operational abilities: Ability to operate PC/keyboard and other office productivity equipment Ability to position self to traverse/navigate around typical office setting Ability pull/push, lift, open/close, grasp/manipulate, transport up to 10 lbs. Why Work for Us: MGMA prides itself on providing team members from all walks of life with an inclusive work environment and comprehensive benefits package, including medical, dental, and vision coverage, life insurance, and both short- and long-term disability. We invest in our employees' growth with a 401(k) plan featuring company match, profit-sharing, and professional development opportunities. We prioritize work-life balance through a hybrid work schedule, an employee assistance program, and a generous time off package, which includes three weeks of vacation, 80 hours of sick time, and 11 paid holidays. From a flexible spending account and on-site fitness center to volunteer opportunities and tuition assistance, MGMA is committed to giving employees a well-rounded and gratifying employment experience. We are an equal opportunity employer. All applicants shall be considered according to their individual qualifications, abilities, experience, and other employment standards. There will be no discrimination due to gender or gender identity, race, religion, color, national origin, ancestry, age, disability, sexual orientation, veteran/military status, or any other basis protected by applicable law. MGMA does not engage in immigration sponsorship or relocation assistance. The application deadline is October 31, 2025. This may be extended in the event additional time is necessary to receive a sufficient number of qualified candidates. The approximate salary range for this position is $135,000 - $175,000, depending on the skills, education, and experience of the candidate. #LI-DNI #ZR

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Responsibilities

The Data AI Architect is responsible for designing, implementing, and optimizing the organization’s data and AI solutions. This includes creating robust data solutions, implementing data governance practices, and ensuring data integrity and security across the organization.