Senior Master Data Management Jobs (NOW HIRING)

City : Austin
State : Texas
Neos is a leading Austin-based IT Staffing and Consulting firm and was recognized as one of the Best Places to Work in Austin.
No calls, no emails, please respond directly to the "apply" link with your resume and contact details.
Neos is seeking a Sr. Informatica Master Data Management (MDM) Administrator/Developer for a long-term contract with our client in Austin, TX.
ONLY CANDIDATES LOCAL TO TEXAS NEED APPLY
8 or more years of experience, relies on experience and judgment to plan and accomplish goals, independently performs a variety of complicated tasks, a wide degree of creativity and latitude is expected.
Understands business objectives and problems, identifies alternative solutions, performs studies and cost/benefit analysis of alternatives. Analyzes user requirements, procedures, and problems to automate processing or to improve existing computer system: Confers with personnel of organizational units involved to analyze current operational procedures, identify problems, and learn specific input and output requirements, such as forms of data input, how data is to be; summarized, and formats for reports. Writes detailed description of user needs, program functions, and steps required to develop or modify computer program. Reviews computer system capabilities, specifications, and scheduling limitations to determine if requested program or program change is possible within existing system.
HHSC IT is continuing to develop an Enterprise Information Management (EIM) system under the Performance Management & Analytics System (PMAS).
This development effort will utilize an agile methodology based upon the approach currently in use at HHSC for the Performance Management & Analytics System (PMAS).
As a member of the agile development team, the worker responsibilities may include:
Overview
The Worker 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 Health and Human Services (HHS) departments and agencies. This role empowers HHS 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 HHS programs and data, strong history of data profiling across HHS data domains, with exceptional communication abilities to bridge the gap between technical data systems and operational users in the emerging context of AI.
Responsibilities
Strategic Liaison and Translation
o Work with program areas, project sponsor and system SMEs to understand member and provider data domains and common data identity issues.
o Explain technical findings and data limitations in simple, non-technical language to end-users.
Data Reporting and Visualization
o Extract, integrate, and analyze member and provider identity data from multiple complex internal and external sources to support HHS analytics needs.
o Collaborate with end-users and performance analysts or IT internal leaders to create visualizations showing member and provider profiles for constantly emerging analytics needs.
o Provide subject matter expertise on validating output from AI, particularly with respect to identifying and mitigating hallucinations.
o Ensure all data identities adhere to agency data standards, data governance, and compliance regulations.
Data Literacy and Training
o Champion data identity across the organization by developing and conducting training sessions for non-technical staff.
o Create clear, comprehensive documentation and tutorials on using master data for data integrations.
o Promote a data-driven culture by enabling and empowering all employees to effectively utilize master data tools and AI.
Collaboration and Problem-Solving
o Work closely with data engineering, IT, and Program teams to troubleshoot data identity issues and address inconsistencies and mitigation strategies.
o Provide expert guidance to program staff on interpreting data identity trends and answering complex identity questions.
o Stay up to date on new AI and data identity tools and techniques to continuously improve data integrations, data quality and reporting.
AI Prompting and Data Synthesis
o Develop and refine effective AI prompts and query strategies to retrieve and synthesize data accurately from complex data domains.
o Guide non-technical users in crafting precise prompts to get the data they need, ensuring fidelity and accuracy.
o Develop a library of standardized prompts and query templates for common data identity needs.
II. CANDIDATE SKILLS AND QUALIFICATIONS
Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.
Years
Required/Preferred
Experience
12
Required
Experience with Informatica PowerCenter
10
Required
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
10
Required
Experience with MDM tools such Informatica MDM
8
Required
Experience explaining technical findings and data limitations in simple, non-technical language to end-users and leadership.
8
Required
Strong experience with SQL for data identification, data profiling and manipulation.
8
Required
Experience collaborating with end-users and performance analysts or IT internal leaders to create and validate client and member identification strategies for analytics development.
8
Required
Excellent communication, presentation, and interpersonal skills.
5
Preferred
Experience with Business Intelligence/Data Warehouse
5
Preferred
Experience with Informatica IICS
4
Preferred
Experience working in a health and human services or similarly regulated environment, with a strong understanding of agency data domains.
4
Preferred
Experience with data governance and data quality principles
3
Preferred
Experience acting as the primary point of contact for program staff with MDM needs for analytics projects
2
Preferred
Experience championing MDM across the organization
1
Preferred
Experience with AI prompt development
#DICE
#LI-CK