Medicaid Data Architect

Allied Consultants, Inc.•Austin, TX

About The Position

Allied Consultants, Inc is a proudly Austin based firm with over 34 years of experience delivering top-tier technical and business professionals within Texas State Agencies. We are currently seeking an experience Medicaid Data Architect to play a key role within a high-impact technical services team. The Medicaid Data Architect position is an Information Technology (IT) position and will be a part of the PMAS Medicaid sprint team working in collaboration with the Office of Data Analytics & Performance (DAP) within the client’s business domain. This architect designs and implements integrated data solutions for a multi-terabyte data integration hub implementation. The mission of PMAS is to ensure client's curated data is visible, accessible where appropriate, understandable in context, trusted by users, and uniformly governed in order to support integrated data analytics in the Integrated Continuum of Care Analytics initiative. This enables data-driven decision making across the client's system. This position is required to create data architecture(s) related to Texas Medicaid data in compliance with Texas Data Management Framework (TDMF) and client's Data Governance (DG) policies.

Requirements

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

Nice To Haves

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

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 client system, Medicaid.
Develops a detailed knowledge of the underlying client's 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 client's 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.
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.
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.
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.