Senior Master Data Management (MDM) Solutions Analyst

ASSYST, Inc.•Austin, TX

4h•Remote

About The Position

ASSYST is seeking a Senior Master Data Management (MDM) Solutions Analyst to support our client project in Austin, TX. This position is remote. The resource will serve as a senior master data management (MDM) administrator/developer, and a critical liaison between technical IT and non-technical program staff mastering complex member and provider data sources across the departments and agencies. This role empowers client’s staff to effectively determine client and provider identity crosswalks across application sources, for developing integrated agency analytical reporting and strategic decision-making. The ideal candidate has strong MDM and SQL skills, a deep understanding of client’s programs and data, strong history of data profiling across client’s data domains, with exceptional communication abilities to bridge the gap between technical data systems and operational users in the emerging context of AI.

Requirements

Experience with Informatica PowerCenter
Experience gathering business requirements and translating complex identity resolutions and operational requirements into clear, actionable access paths for client or provider identity for complex analytics
Experience with MDM tools such Informatica MDM
Experience explaining technical findings and data limitations in simple, non-technical language to end-users and leadership.
Strong experience with SQL for data identification, data profiling and manipulation.
Experience collaborating with end-users and performance analysts or IT internal leaders to create and validate client and member identification strategies for analytics development.
Excellent communication, presentation, and interpersonal skills.

Nice To Haves

Experience with Business Intelligence/Data Warehouse
Experience with Informatica IICS
Experience working in a health and human services or similarly regulated environment, with a strong understanding of agency data domains.
Experience with data governance and data quality principles
Experience acting as the primary point of contact for program staff with MDM needs for analytics projects
Experience championing MDM across the organization
Experience with AI prompt development

Responsibilities

Work with program areas, project sponsor and system SMEs to understand member and provider data domains and common data identity issues.
Explain technical findings and data limitations in simple, non-technical language to end-users.
Extract, integrate, and analyze member and provider identity data from multiple complex internal and external sources to support client’s analytics needs.
Collaborate with end-users and performance analysts or IT internal leaders to create visualizations showing member and provider profiles for constantly emerging analytics needs.
Provide subject matter expertise on validating output from AI, particularly with respect to identifying and mitigating hallucinations.
Ensure all data identities adhere to agency data standards, data governance, and compliance regulations.
Champion data identity across the organization by developing and conducting training sessions for non-technical staff.
Create clear, comprehensive documentation and tutorials on using master data for data integrations.
Promote a data-driven culture by enabling and empowering all employees to effectively utilize master data tools and AI.
Work closely with data engineering, IT, and Program teams to troubleshoot data identity issues and address inconsistencies and mitigation strategies.
Provide expert guidance to program staff on interpreting data identity trends and answering complex identity questions.
Stay up to date on new AI and data identity tools and techniques to continuously improve data integrations, data quality and reporting.
Develop and refine effective AI prompts and query strategies to retrieve and synthesize data accurately from complex data domains.
Guide non-technical users in crafting precise prompts to get the data they need, ensuring fidelity and accuracy.
Develop a library of standardized prompts and query templates for common data identity needs.