MGMA is looking for a Data AI Architect to design, implement, and optimize the organization’s data & AI solutions to ensure they support the strategic goals and operational needs of the business.
Requirements
- 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.
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.
- 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.
- Design scalable data integration frameworks that enable seamless data flow across diverse systems and platforms.
Other
- Ability to consistently promote, support, work, and act in a manner in support of MGMA’s mission, vision, and values/behaviors.
- Must have reliable transportation.
- Must have a valid driver’s license.
- Will need to attend conferences and MGMA events in various locations around the United States on a regular basis.
- Familiarity with Agile/Scrum methodologies
