Master Data Management Analyst III (CEMI)- 2 Year Term Appointment
$125.3k - $146.2kWeill Cornell Medicine
Title: Master Data Management Analyst III (CEMI)- 2 Year Term Appointment
Location: Midtown
Org Unit: Business Intelligence
Work Days:
Weekly Hours: 35.00
Exemption Status: Exempt
Salary Range: $125,300.00 - $146,200.00
*As required under NYC Human Rights Law Int 1208-2018 - Salary range for this role when Hired for NYC Offices
Position Summary
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.
Job 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.
Education
- Bachelor's Degree in Computer Science or related field preferred
- equivalent work experience will be considered.
Experience
- 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
- Experience supporting data migration, integration, or system implementations preferred
Knowledge, Skills and Abilities
- Strong ability to lead MDM initiatives and coordinate across business and technical teams.
- Solid understanding of Informatica MDM concepts, including match/merge logic, hierarchies, and data governance frameworks.
- Strong analytical skills with ability to identify and resolve data quality and consistency issues.
- Excellent communication skills to translate business requirements into data rules and governance processes.
- Ability to manage multiple priorities and drive alignment across stakeholders.
- Working knowledge of enterprise systems and cross-system data relationships.
- Strong attention to detail to ensure data accuracy, integrity, and compliance.
- Ability to document and standardize data definitions, processes, and governance frameworks.
Licenses and Certifications
- Informatica, data governance, or MDM certifications (e.g., CDMP) are a plus
Working Conditions/Physical Demands
Position requires working in an office environment where there some physical discomforts such as dust, dirt, noise, and the like are present. Ability to work off-hours and weekends for go-lives, testing and emergencies, as well as travel between office locations, primarily within NYC is required. Occasional meetings or clinical staff interactions in typical patient care areas may be required though direct patient exposure is not expected. Occasional moving of computer equipment or similar objects up to approximately 50lbs may be required to expedite projects.
Cornell welcomes students, faculty, and staff with diverse backgrounds from across the globe to pursue world-class education and career opportunities, to further the founding principle of “any person, any study.” No person shall be denied employment on the basis of any legally protected status or subjected to prohibited discrimination involving, but not limited to, such factors as race, ethnic or national origin, citizenship and immigration status, color, sex, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual’s genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law.
Cornell University embraces diversity in its workforce and seeks job candidates who will contribute to a climate that supports students, faculty, and staff of all identities and backgrounds. We hire based on merit, and encourage people from historically underrepresented and/or marginalized identities to apply. Consistent with federal law, Cornell engages in affirmative action in employment for qualified protected veterans as defined in the Vietnam Era Veterans’ Readjustment Assistance Act (VEVRRA) and qualified individuals with disabilities under Section 503 of the Rehabilitation Act. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law.
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