Senior Informatica MDM Developer

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 Senior Informatica MDM Developer to play a key role within a high-impact technical services team.

At Allied Consultants, we value our consultants and are committed to providing an exceptional experience including:

• Highly competitive pay rates
• Local support staff for responsive, personal service
• Comprehensive benefits package, including:
  • Medical insurance (with employer cost sharing)
  • Life insurance
  • A 401(K) plan with company match
  • Flexible spending through a cafeteria plan

Candidates selected for interviews will be subject to a criminal background check and may be required to pass a drug screening, in compliance with federal and state regulations. All offers of employment are contingent upon successful completion of these checks.

Allied Consultants is a proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Client's 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 client's 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 client's departments and agencies. This role empowers client 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 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.

Responsibilities

Strategic Liaison and Translation

• 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.

Data Reporting and Visualization

• 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.

Data Literacy and Training

• 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.

Collaboration and Problem-Solving

• 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.

AI Prompting and Data Synthesis

• 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.

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.