Data Architect ( Medicaid )

Texas City, TX, US • Posted 4 days ago • Updated 4 days ago
Contract W2
Contract Independent
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

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

Summary

Hello,

Cogent Data Solutions LLC trying to reach you regarding a job opportunity. The role is
Medicaid Data Architect for one of our direct clients. Please take a look at the job description below and please send your updated resume.
Role: Medicaid Data Architect
Location: Onsite - Austin , TX
Client Name: Texas Health and Human Services Commission ( State client )
Job Qualifications/ Skills:
Minimum 12 years of experience


  • Excellent understanding of Data Architecture principles, capabilities, and best practices with the proven ability to define, document and apply standards and best practices
  • Experience with business processes, data management, data flows, data relationships, data quality standards and processes, and proficiency with data analytical and quality tools
  • Extensive experience in working with Medicaid data; specifically in the areas such as provider claims & encounters as well as client movements and clinical assessments.
  • Experience in building and maintaining a Medicaid Data Warehouse.
  • Extensive architecture experience and knowledge in the areas of Reference Data, Data Quality, Metadata Management
  • Experience leading and evolving corporate culture to a data driven organization
  • Communication, analytical and interpersonal skills at all levels
  • Experience designing/implementing data acquisitions for Master Data Management, Data Warehouse or other Performance Management system.
  • Experience with public health care or Insurance business domain
  • Proven ability to work successfully with technical and non-technical groups and manage multiple responsibilities
  • Bachelor's degree in Computer Science, Systems Engineering or equivalent experience
  • Certified Data Management Professional (CDMP) from DAMA


    The Enterprise Architect position:

    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.
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: 10504512
  • Position Id: 529701741R
  • Posted 4 days ago
Contact the job poster
AH

Adnan Hussain

Recruiter @ Cogent Data Solutions Llc
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