Enterprise Data Architect - Medicaid Analytics

job summary:

Join a high impact team driving enterprise Medicaid data and analytics initiatives that support data driven decision making across one of the nation's largest health and human services environments. This role will lead the design and governance of large scale Medicaid data architecture solutions, including data warehousing, cloud integrations, data quality, metadata management, and enterprise analytics. The ideal candidate brings deep Medicaid data expertise, strong data governance experience, and a passion for transforming complex healthcare data into actionable insights

location: Austin, Texas

job type: Contract

salary: $74 - 79 per hour

work hours: 8am to 5pm

education: Bachelors



responsibilities:

Job Responsibilities

• Design and implement enterprise-scale Medicaid data architecture solutions supporting analytics and reporting initiatives.
• Architect cloud-based data hub integrations across Medicaid and related healthcare data domains.
• Collaborate with business stakeholders, data governance teams, data engineering teams, and executive leadership to define enterprise data strategies.
• Develop and maintain enterprise data standards, policies, and governance frameworks.
• Provide expertise in data harmonization, master data management (MDM), metadata management, reference data, and data quality initiatives.
• Create and maintain conceptual, logical, and physical data models aligned with organizational standards.
• Establish metrics and processes to improve data quality, reduce redundancy, and enhance data governance maturity.
• Analyze business requirements and translate them into scalable technical solutions and data architectures.
• Support the selection and implementation of data management tools, standards, and best practices.
• Conduct root cause analysis of data quality issues and recommend remediation strategies.
• Serve as a subject matter expert on Medicaid data assets, data products, and analytics capabilities.
• Partner with program areas to plan and execute multiple analytics projects simultaneously.
• Present findings, recommendations, and data insights to both technical and non-technical audiences.
• Develop and refine AI prompt strategies and query techniques to support complex Medicaid reporting and analytics needs.
• Validate AI-generated outputs and establish processes to identify and mitigate hallucinations and inaccuracies.
• Promote data literacy and a data-driven culture throughout the organization.
• Collaborate with technical teams to troubleshoot data issues and develop long-term solutions.

qualifications:

Qualifications:

12+ years of experience in data architecture, data management, and enterprise data governance.

12+ years of experience with data flows, data relationships, data quality processes, and data management best practices.

10+ years of experience working with Medicaid data, including provider claims, encounters, client movement data, and clinical assessments.

8+ years of experience designing, building, and maintaining Medicaid data warehouses.

8+ years of experience with metadata management, data quality, reference data management, and enterprise architecture practices.

8+ years of experience leading data-driven organizational initiatives and promoting data governance adoption.

Strong communication, analytical, presentation, and stakeholder management skills.

Preferred Qualifications:

Experience designing and implementing Master Data Management (MDM) solutions.

Experience supporting enterprise data warehouse and performance management platforms.

Experience within public healthcare, Medicaid, health services, or insurance environments.

Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.

Certified Data Management Professional (CDMP) certification.

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.