Medicaid Data Architect

Austin, TX, US • Posted 5 hours ago • Updated 5 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Cloud Computing
  • Data Domain
  • TDMF
  • IT Management
  • Sourcing
  • Extraction
  • Root Cause Analysis
  • Business Cases
  • Translation
  • Analytics
  • Leadership
  • Data Governance
  • Regulatory Compliance
  • Artificial Intelligence
  • Collaboration
  • Data Engineering
  • Process Analysis
  • Data Flow
  • Data Analysis
  • Medicaid
  • Reporting
  • Data Architecture
  • Reference Data
  • Meta-data Management
  • Data Quality
  • Communication
  • Analytical Skill
  • Conflict Resolution
  • Problem Solving
  • Stakeholder Management
  • Data Acquisition
  • Master Data Management
  • Mobile Device Management
  • Data Warehouse
  • Performance Management
  • Medicaid Managed Care
  • Health Insurance
  • Health Care
  • Management
  • Computer Science
  • Systems Engineering
  • Information Technology
  • Data Management

Summary

Role: Medicaid Data Architect

Location: Austin, TX (100% Onsite)

Duration: Long Term

In person interview will be required

Responsibilities:
  • Collaborates with the Office of the Chief Data Architect on initiatives related to performance analytics and data governance.
  • Architects cloud data hub integrations with Medicaid data and other data domain platforms.
  • Develops best practices and methodologies to mature TDMF best practices and capability maturities.
  • Develops enterprise data policy and standards that support the development of an enterprise data governance framework.
  • Serves as Data Architecture and Data Management expert for the HHS system, Medicaid.
  • Develops a detailed knowledge of the underlying HHS data assets and data products and provides subject matter expert on content, current and potential future uses of data.
  • Assists in development and implementation of data quality processes and metrics.
  • Responsible for consulting with the business owners of data assets, providers of enterprise analytics, and Information Technology leadership to develop enterprise Medicaid analytics strategy for future funding, design, and implementation
  • Provides expertise in data harmonization, master data development and governance, data quality, and metadata management.
  • Provides guidelines on creating data models and various standards relating to governed data.
  • Reviews changes to technical and business metadata, realizing their impacts on enterprise applications, and ensures the impacts are communicated to appropriate parties.
  • Establishes measures to chart progress related to the completeness and quality of metadata for enterprise information to support reduction of data redundancy and fragmentation and elimination of unnecessary movement of data; and to improve data quality.
  • Assists in selecting data management tools and developing the standards, usage guidelines, and procedures for using those tools.
  • Assists in identifying appropriate data sourcing and extraction processes, and in identifying and nominating sources as systems of record for data usage in various applications.
  • Assists in performing root cause analyses related to information issues and non-conformance to published data standards based on review of technical metadata of various source systems.
  • Builds business cases to support collaborative HHS MDM efforts and adoption.
  • Works with CTO office, CDA architecture team, and MCS program stakeholders to come up with Medicaid data and analytics strategy considering long term goals/objectives.

Strategic Liaison and Translation
  • Work with program areas and project sponsor to plan and execute multiple analytics projects asynchronously.
  • Explain project findings and data limitations in simple, non-technical language to agency leadership and program staff.

AI Prompting and Data Synthesis
  • Develop and refine effective AI prompts and query strategies to retrieve and synthesize Medicaid data for complex data domains.
  • Develop a library of standardized prompts and query templates for common reporting needs.
  • Provide subject matter expertise on validating output from AI, particularly with respect to identifying and mitigating hallucinations.
  • Ensure all data outputs adhere to agency reporting standards, data governance, and compliance regulations.
  • Promote a data-driven culture by enabling and empowering all staff to effectively utilize data and AI.
  • Stay up to date on new AI and data analytics tools and techniques to continuously improve program competencies.

Collaboration and Problem-Solving
  • Work closely with data engineering, IT, and Program teams to troubleshoot data-related issues and address inconsistencies and mitigation strategies.
  • Provide expert guidance to program staff on interpreting data trends and answering complex data questions.

Qualifications:
  • 12+ years of experience in Data Architecture, including defining, documenting, governing, and implementing enterprise data architecture principles, standards, and best practices.
  • 12+ years of experience in business process analysis, data management, data flows, data relationships, data quality standards, and the use of data analytics and data quality tools.
  • 10+ years of experience working with Medicaid data, including Provider Claims & Encounters, Client Movements, Eligibility, and Clinical Assessment data.
  • 8+ years of experience designing, developing, and maintaining Medicaid Data Warehouses and enterprise reporting solutions.
  • 8+ years of experience in enterprise data architecture with expertise in Reference Data Management, Metadata Management, and Data Quality frameworks.
  • 8+ years of experience leading organizational data transformation initiatives and promoting a data-driven culture across business and technology teams.
  • 8+ years of experience demonstrating strong communication, analytical, problem-solving, and stakeholder management skills across all organizational levels.
  • 5+ years of experience designing and implementing data acquisition, integration, and ingestion solutions for Master Data Management (MDM), Data Warehouses, and Performance Management systems.
  • 5+ years of experience in Public Healthcare, Medicaid, Managed Care, Health Insurance, or related healthcare business domains.
  • 5+ years of experience collaborating with technical and non-technical stakeholders while managing multiple projects and competing priorities.
  • Bachelor's degree in Computer Science, Systems Engineering, Information Technology, or equivalent professional experience.
  • Certified Data Management Professional (CDMP) certification from DAMA preferred.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTL939169
  • Position Id: 28dadcc2d564920635b3e6e48f5e1591
  • Posted 5 hours ago
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