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

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., Enterprise Data Architecture

• 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.

Medicaid Data & Analytics

• 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.

Data Governance & Data Management

• 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.

Cloud & Data Integration

• 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.

AI & Advanced Analytics Support

• 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.

Stakeholder Engagement

• 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.

Do you have experience in Stakeholder relationship building?, Do you have a Bachelor’s degree?, 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., * 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., * 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.

Technical Expertise

Candidates should demonstrate strong experience with:

• Enterprise Data Architecture
• Data Warehousing
• Medicaid Analytics
• Data Governance
• Master Data Management (MDM)
• Metadata Management
• Data Quality Frameworks
• Cloud Data Platforms
• Healthcare Data Integration
• Enterprise Analytics
• Data Modeling
• Data Harmonization
• Business Intelligence
• AI-Driven Analytics and Reporting

Compliance Requirements

• 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.