Master Data Management Analyst III (CEMI)

Weill Cornell Medical CollegeNew York, NY
$125,300 - $146,200Onsite

About The Position

The Master Data Management (MDM) Analyst II is responsible for managing and improving data quality, consistency, and governance across enterprise systems, with a primary focus on Informatica MDM. This role leads MDM implementation efforts, working closely with business and technical stakeholders to define data standards, rules, and governance processes to support reliable operations and analytics. This is a term position anticipated to be needed through Fall 2028 but may be ended or extended based on organizational needs, funding availability, and performance.

Requirements

  • Minimum of 8–10 years of experience in master data management, data governance, or data analysis
  • Hands-on experience with Informatica MDM implementation and support
  • Experience working with enterprise systems such as SAP, Workday, Salesforce, and cloud data platforms (e.g., Redshift)
  • Experience defining data rules, business processes, and governance standards with stakeholders
  • Experience in data quality management, cleansing, and validation processes
  • Experience coordinating projects or cross-functional initiatives in a data environment
  • Basic SQL skills for data validation and analysis

Nice To Haves

  • equivalent work experience will be considered.
  • Experience supporting data migration, integration, or system implementations preferred
  • Informatica, data governance, or MDM certifications (e.g., CDMP) are a plus

Responsibilities

  • Lead and support implementation of Informatica MDM solutions, including configuration of data models, match/merge rules, and workflows.
  • Collaborate with business stakeholders to define and document master data rules, data definitions, and governance standards across domains.
  • Manage and maintain master data across systems such as Workday, Salesforce, Redshift, and other enterprise platforms.
  • Perform data profiling, cleansing, deduplication, and validation to ensure high data quality and consistency.
  • Coordinate cross-functional teams to align on master data ownership, roles, and processes across business units.
  • Support data migration and integration initiatives by mapping and aligning master data across multiple systems.
  • Monitor data quality metrics and provide reporting on data health and improvement efforts.
  • Troubleshoot and resolve data discrepancies across source and downstream systems.
  • Document MDM processes, data standards, and governance policies for operational and audit purposes.
  • Drive continuous improvement initiatives to enhance data governance, processes, and data quality.
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