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MGMA · 2 months ago

Data AI Architect

Englewood,CO,US

Full-time

Hybrid

Senior Level

$135K/yr - $175K/yr

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

Health CareHospitalMedical

No H1B

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

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

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

Design scalable data integration frameworks that enable seamless data flow across diverse systems and platforms

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

Qualification

Data architecture designMachine learning expertiseSQL proficiencyData governance frameworksPython programmingData visualization toolsCloud platforms experienceAgile methodologiesCollaboration skillsCommunication skills

Required

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

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

Integration and Interoperability

Design scalable data integration frameworks that enable seamless data flow across diverse systems and platforms

Data Governance and Security

Must have reliable transportation

Must have a valid driver's license