> Markdown version of [/jobs/ext/3404615-mdm-lead](https://www.wearedevelopers.com/jobs/ext/3404615-mdm-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # MDM Lead - **Company:** All Views LLC - **Location:** Bridgeton, MO, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Application Integration Architecture, Microsoft Azure, Information Systems, Data Validation, Data Discovery, Data Governance, Data Infrastructure, Data Integrity, Data Vault Modeling, Software Design Patterns, IT Management, DataOps, SQL Databases, Informatica Powercenter, Snowflake, Data Strategy, Information Technology, Data Management - **Published:** September 25, 2026 - **Apply:** https://www.careerjet.com/job/usf5c6e6b0cb79afc95ef83427f3844318/eaa ## About the Role 10+ years in related role in addition to a Bachelor's degree in Information Systems, Management Information Systems, Computer Science, Statistics or related field. Demonstrated experience can be exchanged for the degree. 7+ years of experience in Master Data Management. 3+ years of experience with Informatica (MDM, IDQ, PowerCenter, etc.) 3+ year of experience Leading & providing technical guidance to the team Minimum 3+ years' Experience in implementing Data Platform technologies like Informatica, AWS, Snowflake, Azure is preferred but not required Strong experience in solution design, integration architecture, and process improvement Rich understanding of data architectural and design patterns including normalized, dimensional, data vault, and multi-dimensional approaches. Ability to concisely document and express data architectures and standards that can be readily understood and applied by both IT leadership and developers. Willingness to learn and experiment with technologies outside of his/her comfort area. Excellent interpersonal skills and ability to work with all levels of personnel individually and within teams. Good communication skills, both verbal and written. Excellent project, organization change and financial management skills. ## Description The Master Data Management Program Manager is responsible for developing and implementing MDM and data governance frameworks to enable strategic initiatives across the organization. This role is also responsible for Data Quality Management activities to align with internal, external up/downstream data needs/changes. The individual in this role is also responsible for the setup of proactive data quality checks, acts as a data steward, focused on the day-to-day data operations & management tasks and on monitoring the entire lifecycle of data and the data & digital solutions. This is a hands-on technical role as well as leading projects and teams to implement and maintain MDM and associated solutions. Responsibilities Master Data Management Establish and maintain a process that manages the creation, implementation, and maintenance of master data management solutions with Informatica that enable users to optimize system capabilities. Oversees a team of analysts that analyze and enrich master data elements and optimize the flow of data between users and stakeholders. Design and Develop process that ensures master data integrity in key systems as well as maintaining the processes to support the data quality. Champion Data Governance in cooperation with Business and Technical Owners and Stewards. Identifies areas for data quality improvements and helps to resolve data quality problems through the appropriate choice of error detection and correction, process control and improvement, or process design strategies. Leverages Informatica IDQ tools to improve data quality and ensure trusted data is available for consumption across the enterprise, Ensures quality of master data in key systems, as well as development and documentation of processes with other functional data owners to support ongoing maintenance and data integrity. In collaboration with subject matter experts and data stewards, defines and implements data strategy, policies, controls, and programs to ensure the enterprise data is accurate, complete, secure, and reliable. Profiles data sources using SQL and other data discovery tools in support of data quality analysis and business intelligence design efforts