Senior Medicaid Data Architect (Enterprise Architect III) - 26-06917

NavitasPartners•Austin, TX

1d•Onsite

About The Position

We are seeking a highly experienced Senior Medicaid Data Architect to lead enterprise data architecture initiatives supporting large-scale healthcare analytics, Medicaid data integration, and data governance programs. This role will be responsible for designing and implementing enterprise-level data solutions, data warehouses, cloud integrations, metadata management frameworks, and data governance strategies within a complex healthcare environment. The ideal candidate will possess extensive Medicaid data expertise, enterprise data architecture experience, and a strong background in data warehousing, data governance, master data management, and analytics platforms.

Requirements

12+ years of experience with enterprise data architecture principles, methodologies, standards, and best practices.
12+ years of experience in: Data management, Data flows and relationships, Data quality frameworks, Data governance, Analytical and data quality tools
10+ years of hands-on Medicaid data experience, including: Provider claims, Encounters, Client movement data, Clinical assessments
8+ years building and maintaining Medicaid Data Warehouses.
8+ years of experience in: Reference Data Management, Data Quality Management, Metadata Management
8+ years leading enterprise data transformation and data-driven organizational initiatives.
Strong communication, leadership, analytical, and stakeholder management skills.
Must successfully pass required background screening.
All deliverables produced under this engagement are considered work-for-hire.
Compliance with all security, privacy, and organizational policies is required.

Nice To Haves

5+ years designing and implementing: Master Data Management (MDM), Enterprise Data Warehouse solutions, Performance Management Systems
5+ years within: Healthcare, Medicaid, Insurance, Public Health environments
Experience managing both technical and business stakeholders.
Bachelor's Degree in: Computer Science, Systems Engineering, Related Technical Discipline
Certified Data Management Professional (CDMP) certification preferred.

Responsibilities

Design and implement enterprise-scale Medicaid data architectures.
Develop enterprise data standards, policies, frameworks, and governance processes.
Create and maintain logical, conceptual, and physical data models.
Define enterprise metadata, reference data, and master data strategies.
Establish enterprise data quality standards and monitoring processes.
Architect and integrate large-scale Medicaid data platforms.
Develop strategies for Medicaid claims, encounters, clinical assessments, and member movement data.
Support enterprise analytics initiatives and healthcare performance reporting.
Provide subject matter expertise on Medicaid data assets and reporting solutions.
Design enterprise data warehouses and analytics platforms.
Collaborate with data governance and architecture teams.
Define metadata management standards and best practices.
Develop data stewardship and governance frameworks.
Improve data quality, consistency, and accessibility across enterprise systems.
Support master data management (MDM) initiatives.
Architect cloud-based data integration solutions.
Design enterprise data hubs and analytics environments.
Support long-term enterprise data modernization initiatives.
Evaluate and recommend enterprise data management tools and technologies.
Develop and optimize AI-driven data retrieval and reporting strategies.
Create reusable prompt libraries and reporting templates.
Validate AI-generated outputs and identify data quality concerns.
Promote adoption of data-driven and AI-enabled decision-making practices.
Stay current with emerging AI, analytics, and data management technologies.
Collaborate with executive leadership, business teams, and technical stakeholders.
Translate complex technical concepts into business-friendly language.
Present architecture strategies, findings, and recommendations to leadership.
Lead multiple analytics and architecture initiatives simultaneously.