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Manager, Data Management and MDM Consultant

Job in Miami, Miami-Dade County, Florida, 33222, USA
Listing for: RSM International
Full Time position
Listed on 2025-12-19
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Data Science Manager, Data Warehousing
Job Description & How to Apply Below

We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled culture and talent experience and our ability to be compelling to our clients. You’ll find an environment that inspires and empowers you to thrive both personally and professionally.

There’s no one like you and that’s why there’s nowhere like RSM.

Overview

RSM is looking for a Data Management and MDM Consultant to provide guidance, oversight, and consulting services. This role is a consulting management role and will be tasked with helping develop, implement, and maintain governance processes, provide guidance on Master Data Management implementations, while ensuring the highest level of data quality and accuracy across the organization. Additionally, this role will work with functional leaders and IT to drive requirements for the master data architecture design, hierarchy development and data management best practices within the organization’s data and integration platforms.

RSM is looking for someone with key functional knowledge, technical understanding, and process and project management to guide clients current and future data management needs.

Essential Duties and Responsibilities
  • Implement an enterprise-wide data governance framework, with a focus on data quality, synchronization, and standardization through processes, data monitoring, data remediation, training, and documentation.
  • Work with data governance organizations to build process for the day‑to‑day maintenance of data management and master data management implementations.
  • Serve as a liaison between the functional data owners and the IT data owners to understand needed enhancements to integrations or data transformations to provide necessary controls and oversight.
  • Develop and maintain a data dictionary, glossary, and process documentation to distributed or made available to all employees.
  • Own and drive a detailed communication plan which includes running weekly, monthly, and quarterly meetings with key data stakeholders and leadership.
  • Create or enhance data visibility of data quality through analytics dashboards, key KPIs and other metrics and measurements.
  • Work with function leaders to build enterprise hierarchies for key domains such as Product, Customer, Vendor and Employee to support data analytics, reporting and AI.
  • Develop and monitor processes to track data requests, reporting needs, and serve as a point of contact to ensure communication is targeted to appropriate technical and functional resources.
  • Work with IT to develop and maintain a data inventory in the analytics warehouse, which includes a full list of available data models, model attributes, statistical reporting inventory, ad hoc data marts, and user access.
  • Research and keep up with new technologies and provide recommendations for enhancement to the current infrastructure.
  • Develop, maintain, and oversee a data reconciliation processes to ensure the analytics data warehouse, data marts and reporting is consistent and reliable.
  • Work with IT leadership to ensure the proper controls are being managed and reviewed for all data integrations.
  • Provide project management oversight for the implementation of data strategy and governance projects.
  • Own the single source of truth conceptual model in the data warehouse and ensure that all enrichments adhere to the model design principles.
  • Collaborate with IT to ensure privacy/security and access to data is properly aligned to organizational standards.
  • Provide thought leadership and support executive decision making around the use of data, setting enterprise standards, and enforcing data governance policies across the organization.
Basic Qualifications
  • BA/BS in Information Systems, Computer Science, Data Analytics or Data Science.
  • 7+ Years of experience in data architecture, business intelligence, data governance.
  • 5+ Years of manufacturing, financial services, or healthcare industry experience.
  • 3+ Years of enterprise level project management experience.
  • Knowledge of data governance…
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