MGMA

Full-stack Engineer

• Serve as the technical lead for the agile pod within the assigned value stream, providing day-to-day direction and guidance to developers and other contributors.
• Collaborate with product managers and business stakeholders to co-develop the value stream’s technical roadmap, helping to define priorities, estimate work, and ensure alignment with business outcomes.
• Own technical delivery and ensure development is executed according to agreed standards, timelines, and architectural guidelines.
• Break down large features into actionable development tasks, delegate work across the pod, and monitor task progress.
• Foster high-performing team behaviors by applying agile principles, mentoring junior developers, and encouraging continuous improvement.
• Ensure code quality and technical consistency through code reviews, technical coaching, and adherence to software development best practices.
• Maintain hands-on involvement with coding, solutioning, troubleshooting, and system design.
• Ensure the delivery of secure, scalable, and maintainable solutions that meet business and technical requirements.
• Advocate for engineering excellence and innovation, staying current on emerging tools, frameworks, and practices.
• Lead technical delivery for member-facing data applications, incorporating principles of data engineering, data analytics, data quality and data integrity.
• Guide the development and maintenance of scalable ingestion and ETL processes that support data applications.
• Act as a liaison between the engineering pod and other technical functions (e.g., architecture, security, DevOps, QA/QE).

Engineering Lead – Data Applications

Analyst

• Design, develop, and maintain internal dashboards and reports for various business functions
• Create technical and business documentation along with report development
• Translate business requirements into data models, dashboards, and KPIs
• Collaborate with Marketing and Sales teams to measure campaign performance, lead conversion, customer acquisition, and sales pipeline health
• Analyze large datasets from multiple sources to generate actionable insights
• Ensure data accuracy, consistency, and quality across all reports and dashboards

Data Analyst, Reporting

Performance Marketing

• Responsible for bottom-of-funnel digital marketing strategy, execution, optimization, and reporting across all product lines within MGMA.
• Focus on generating qualified leads, conversions, and revenue through email acquisition campaigns, paid media, retargeting, and landing page optimization.
• Collaborate with cross-functional teams to ensure all campaigns are data-driven, and aligned with organizational goals.
• Drive measurable business KPIs through high-performing campaigns for the mid-size medical practice market.
• Develop, execute, and optimize data-driven inbound and outbound marketing strategies designed to convert leads, accelerate pipeline velocity, and deliver revenue growth.
• Create, implement, and monitor budget, ensuring marketing goals and campaign targets are met.
• Monitor, analyze, and report tactical results of all campaign channels, and make recommendations for campaign adjustments.
• Create, manage, execute, and report on automated marketing campaigns utilizing the marketing automation platform.

Performance Marketing Manager

Security Engineer

• Lead and mentor a team of technical professionals covering cybersecurity, Microsoft platform administration, and infrastructure.
• Oversee daily performance of MGMA’s managed service provider (MSP), ensuring accountability, SLA adherence, and high-quality service delivery.
• Balance hands-on technical execution with strategic program management and planning.
• Serve as program owner for MGMA’s cybersecurity initiatives and Plan of Action & Milestones (POA&M).
• Design, configure, and implement security controls — particularly within Microsoft environments — including identity protection, endpoint management, and data loss prevention.
• Act as the subject matter expert and technical owner for MGMA’s Microsoft ecosystem.

Manager, IT Security – Platform Operations

AI Engineer

• 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

Data AI Architect

• 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