Manager Reltio Mdm Jobs in Texas (NOW HIRING)

Job Summary:
ClifyX is a company seeking an MDM Reltio Architect to design and implement Reltio MDM solutions. The role involves defining entity models, architecting multi-domain MDM solutions, and ensuring data governance and quality across the organization.
Responsibilities:
• Design end to end Reltio MDM architecture aligned with business goals and enterprise data strategy
• Define entity models, relationships, hierarchies, and reference data structures
• Architect multi domain MDM solutions (Customer, Product, Party, Location, Account, etc.)
• Ensure extensibility, scalability, performance, and security of Reltio implementations
• Define cloud native integration patterns (event driven, API based, batch)
• Design L3/L4 data models including attributes, data types, and constraints
• Define mastering rules:
• Survivorship rules
• Match & merge strategies
• Trust and source ranking
• Configure:
• Match rules (exact, fuzzy, phonetic, weighted)
• Merge rules and survivorship logic
• Design data stewardship workflows for manual resolution
• Design and govern integrations between Reltio and:
• Source systems (CRM, Core Banking, ERP, Policy, Claims, POS)
• Downstream consumers (Data Lake, Analytics, Reporting, Digital apps)
• Define API based integration patterns (REST, GraphQL)
• Architect real time vs batch vs event driven data flows
• Leverage Reltio components:
• Reltio APIs
• Reltio Integration Hub
• Kafka/Event Streams (if applicable)
• Ensure error handling, retries, reconciliation, and monitoring
• Define enterprise data governance framework using Reltio capabilities
• Establish:
• Data ownership and stewardship roles
• Data quality KPIs and thresholds
• Business rules and validations
• Configure DQ rules, validations, and exception handling
• Support compliance needs (especially in BFSI):
• Regulatory reporting
• Auditability
• Data lineage and traceability
• Act as technical lead for Reltio implementations
• Review and approve solution designs, configurations, and deployment strategies
• Guide engineers on:
• Reltio configuration best practices
• Match rule optimization
• Performance tuning
• Ensure alignment with enterprise architecture standards
• Participate in architecture review boards (ARBs)
• Define environment strategy (Dev, QA, UAT, Prod)
• Support CI/CD pipelines for Reltio configurations
• Plan and execute data migrations and cutover strategies
• Ensure backup, recovery, and rollback processes
• Coordinate releases and version upgrades
• Design role based access control (RBAC) in Reltio
• Ensure data privacy and security controls
• Support regulatory requirements (GDPR, SOC, internal audits)
• Define data masking and access restrictions when required
• Translate business requirements into Reltio solutions
• Work closely with:
• Business stakeholders
• Data owners and stewards
• Enterprise architects
• Lead design workshops and technical walkthroughs
• Provide architectural recommendations and trade off analysis
• Optimize match rules to reduce false positives/negatives
• Monitor merge rates, survivorship accuracy, and system performance
• Recommend remediation strategies for data duplication and quality issues
• Support scalability as data volumes grow
Qualifications:
Required:
• Strong understanding of MDM concepts and data governance
• Reltio platform expertise
• Data modeling
• Match & merge
• APIs & integrations
• Design end to end Reltio MDM architecture aligned with business goals and enterprise data strategy
• Define entity models, relationships, hierarchies, and reference data structures
• Architect multi domain MDM solutions (Customer, Product, Party, Location, Account, etc.)
• Ensure extensibility, scalability, performance, and security of Reltio implementations
• Define cloud native integration patterns (event driven, API based, batch)
• Design L3/L4 data models including attributes, data types, and constraints
• Define mastering rules: Survivorship rules, Match & merge strategies, Trust and source ranking
• Configure: Match rules (exact, fuzzy, phonetic, weighted), Merge rules and survivorship logic
• Design data stewardship workflows for manual resolution
• Design and govern integrations between Reltio and Source systems (CRM, Core Banking, ERP, Policy, Claims, POS)
• Define API based integration patterns (REST, GraphQL)
• Architect real time vs batch vs event driven data flows
• Leverage Reltio components: Reltio APIs, Reltio Integration Hub, Kafka/Event Streams (if applicable)
• Ensure error handling, retries, reconciliation, and monitoring
• Define enterprise data governance framework using Reltio capabilities
• Establish: Data ownership and stewardship roles, Data quality KPIs and thresholds, Business rules and validations
• Configure DQ rules, validations, and exception handling
• Support compliance needs (especially in BFSI): Regulatory reporting, Auditability, Data lineage and traceability
• Act as technical lead for Reltio implementations
• Review and approve solution designs, configurations, and deployment strategies
• Guide engineers on: Reltio configuration best practices, Match rule optimization, Performance tuning
• Ensure alignment with enterprise architecture standards
• Participate in architecture review boards (ARBs)
• Define environment strategy (Dev, QA, UAT, Prod)
• Support CI/CD pipelines for Reltio configurations
• Plan and execute data migrations and cutover strategies
• Ensure backup, recovery, and rollback processes
• Coordinate releases and version upgrades
• Design role based access control (RBAC) in Reltio
• Ensure data privacy and security controls
• Support regulatory requirements (GDPR, SOC, internal audits)
• Define data masking and access restrictions when required
• Translate business requirements into Reltio solutions
• Work closely with: Business stakeholders, Data owners and stewards, Enterprise architects
• Lead design workshops and technical walkthroughs
• Provide architectural recommendations and trade off analysis
• Optimize match rules to reduce false positives/negatives
• Monitor merge rates, survivorship accuracy, and system performance
• Recommend remediation strategies for data duplication and quality issues
• Support scalability as data volumes grow
Company:
ClifyX provides innovative business solutions which satisfy requirements for mission-critical reliability, scalability, interoperations. Founded in 1998, the company is headquartered in South Plainfield, USA, with a team of 501-1000 employees. The company is currently Late Stage.