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Title: Reltio - Lead
Location: NJ - Hybrid
Type: Contract
Job Description:
Key Responsibilities - MDM Development & Configuration
Title: Reltio - Lead
Location: NJ - Hybrid
Type: Contract
Job Description:
Key Responsibilities - MDM Development & Configuration
- Design, configure, and enhance Reltio MDM data models, match/merge rules, survivorship rules, and workflows.
- Develop Reltio UI configurations, LCA components, crosswalks, and entity/relationship models.
- Build integrations using Reltio APIs, REST services, and data pipelines.
- Implement data validation rules, cleansing logic, and stewardship workflows.
- Lead day-to-day Reltio MDM support operations, ensuring system uptime, performance, and timely issue resolution.
- Manage incident triage, root cause analysis, and defect fixes.
- Coordinate with business stakeholders, data stewards, QA, and infrastructure teams for seamless operations.
- Oversee and guide offshore/onshore support teams as required.
- Support version upgrades, patching, environment refreshes, and release deployments.
- Maintain technical documentation, support procedures, and knowledge base articles.
- Ensure adherence to SDLC, validation, and compliance requirements (particularly for Life Sciences).
- Support customer, HCP/HCO, product, and reference data management processes.
- Work with downstream systems such as CRM (Veeva, Salesforce), ERP, data lakes, and analytics platforms.
- Ensure compliance with regulatory and GxP standards where applicable.
- Strong hands-on experience with Reltio MDM (configuration, data model, match rules, workflows, UI, APIs).
- Experience in MDM development and L2/L3 support leadership.
- Good understanding of master data concepts: entities, relationships, survivorship, match/merge, hierarchy management.
- Experience integrating Reltio with enterprise platforms using APIs and ETL/iPaaS tools.
- Strong problem-solving, analytical, and communication skills.
- Experience in the Life Sciences industry-HCP/HCO mastering, customer data, and compliance.
- Familiarity with AWS cloud platforms.
- Understanding of data governance, data stewardship, and data quality frameworks.