Master Data Management System Administrator

MSA, The Safety Company•Cranberry Township, PA

7d•Hybrid

About The Position

For more than 100 years, our passionate mission of safety empowers us to protect lives. MSA Safety is a global leader in the development of safety equipment and pioneering technology that helps protect people and facility infrastructures around the world. We are committed to providing the latest in innovative, best-in class safety solutions that feature integrated systems capability and allow our customers to return safely to their families and friends. Every day our customers place their lives in our hands. In response, we provide them with protection they can trust. It is gratifying to lead the way as a source of inspiration. Would you like to join our team of more than 5,000 employees world-wide dedicated to this purpose? The MDM Systems Administrator is responsible for supporting, maintaining, and optimizing the organization’s Reltio Master Data Management platform and Alation Data Catalog environment. This role bridges technical and business teams by managing system configuration, data quality workflows, metadata governance, user access, and ensuring master data accuracy across domains such as Product, Customer, Vendor, etc. You will play a key role in ensuring high-quality, consistent, and governed master data across our enterprise systems. The ideal candidate understands MDM best practices and can translate business requirements into system configurations while supporting governance, data quality, and system optimization.

Requirements

Bachelor’s degree in IT, Business Systems, Data Management, Computer Science, or related field (or equivalent experience).
Strong understanding of MDM concepts, governance processes, and master data domains (Product, Customer, Vendor, etc..).
Experience working with business stakeholders to gather requirements and configure enterprise systems.
Strong analytical skills, troubleshooting capabilities, and documentation proficiency.
Strong cross-functional communication and documentation skills.
Ability to collaborate across business and technical teams.
Ability to translate business needs into system configurations.
Hands-on experience with ETL/ELT tools, cloud data pipelines, or data integration frameworks.
Experience with data modeling concepts (logical, physical, dimensional).

Nice To Haves

3–6 years of experience with Reltio MDM and Alation or similar data management tools.
Hands-on experience configuring Reltio match/merge rules, survivorship logic, workflows, and validation rules.
Knowledge of APIs, data integration frameworks, and ERP/CRM integrations.
SQL or data validation experience.
Experience using Reltio APIs, JSON-based payloads, and data mapping specifications.
Agile methodology experience (Jira, Azure DevOps).
Experience supporting Product, Customer, Vendor, or Material master data domains.
Customer-service–oriented approach supporting business users and data stewards.

Responsibilities

Configure and maintain Reltio entity models, match/merge rules, survivorship logic, workflows, and reference data.
Monitor system health, scalability, compliance, workflow queues, integrations, and data flows.
Troubleshoot issues, perform root cause analysis, and coordinate remediation with IT or Reltio support.
Support integration with SAP ECC/S4, Salesforce, PLM, Data Lake, and other analytics platforms.
Partner with business teams to implement new entity types, attributes, and validation rules.
Design, extend, and maintain logical and physical master data models within Reltio, including entity relationships, hierarchies, reference data, and crosswalk strategies.
Partner with data architects to align Reltio models with enterprise data models and downstream consumption needs.
Evaluate and implement changes to entity structures, attributes, and relationships while minimizing downstream integration impact.
Design, support, and monitor ETL/ELT pipelines that ingest, transform, and publish master data between Reltio and downstream systems (ERP, CRM, PIM, PLM, Data Lake).
Partner with data engineering teams to define transformation logic, mapping rules, and data validation checkpoints.
Support batch and real-time integration patterns using Reltio APIs, streaming, or middleware tools.
Perform data reconciliation and integration validation to ensure data accuracy and completeness across systems.
Assist with onboarding new data sources and consumers into the Reltio ecosystem.
Manage metadata ingestion jobs, lineage documentation, catalog connectors and business glossary updates.
Ensure data assets in Alation align with master data in Reltio.
Maintain stewardship assignments and metadata standards.
Create and implement best-practice frameworks to enhance data catalog accuracy and usability
Support data governance processes, ensuring key business terms and definitions are documented and maintained.
Partner with data stewards and data owners to maintain workflow approvals and governance rules in Reltio.
Document critical data elements and ensure consistency between Reltio and Alation.
Support data quality initiatives, including validation, cleansing, and monitoring dashboards.
Manage user roles, permissions, and onboarding/offboarding in both Reltio and Alation.
Provide support to business users, including troubleshooting and guidance.
Develop training materials, process documentation, and system guides.
Participate in testing cycles (UAT, regression testing) for system updates and enhancements.
Recommend improvements, automation, and process optimization.
Maintain thorough documentation of configuration changes, system logic, and workflows.