Senior Medicaid Data Architect (Enterprise Architect III) - 26-06917
Role details
Job location
Tech stack
Job description
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.
Requirements
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.