MDM Data Specialist

AuxoAI Engineering Pvt. Ltd. | Full time

New York, United States | Posted on 06/19/2026

We are seeking an MDM Data Specialist to support master data transformation across customer, product, entitlement, CRM, CPQ, and revenuemanagement domains in a SaaS environment. This role will help improve data quality, standardize master data, support governance, and enable scalablequote-to-cash processes aligned to Project Nova priorities such as Customer
360, product taxonomy, entitlements, CPQ-ready commercial structures, and revenue alignment.

• Manage and improve master data across customer, product, entitlement,account hierarchy, product catalog, subscription, contract, billing, and revenue domains
  .
• Configure and support MDM platform capabilities, including data models, match and merge rules, survivorship rules, hierarchy management,validation rules, workflows, reference data, and data quality rules
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• Support integration of master data between MDM platforms and operational systems such as Salesforce CRM, Salesforce CPQ, Salesforce Revenue Cloud,billing, ERP, data lake, and reporting platforms
  .
• Assist with customer golden record creation, account hierarchymanagement, deduplication, data standardization, and Customer 360 enablement.
• Support product taxonomy and product catalog data needed for CPQ bundles,pricing rules, eligibility rules, commercial BOMs, and quote-to-cashautomation.
• Maintain entitlement and subscription data, including customer-to-productmappings, lifecycle status, renewals, amendments, upsells, and install basevisibility.
• Perform data profiling, cleansing, reconciliation, validation, issue resolution, and root-cause analysis across multiple systems.
• Document data definitions, business rules, source-to-target mappings,lineage, stewardship processes, and remediation actions.
• Partner with Sales Operations, Revenue Operations, Finance, Product Operations, Customer Success, IT, Data Governance, and Enterprise Architectureteams.

• 7+ years of experience in master data management, data governance,data quality, data operations, revenue operations, sales operations, productoperations, or a related data role
  .
• Hands-on experience with an MDM platform such as Informatica MDM,Informatica IDMC, Reltio, or a comparable enterprise MDM solution
  .
• Experience in a SaaS, subscription, technology, or enterprise softwareenvironment
  .
• Working knowledge of CRM, CPQ, quote-to-cash, order-to-cash, billing,entitlement, subscription, contract, or revenue management processes
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• Experience with customer master, product master, product catalog, accounthierarchy, entitlement, subscription, contract, billing, or revenue data.
• Understanding of MDM concepts such as golden record, match/merge,survivorship, reference data, hierarchy management, stewardship workflows, data quality rules, and cross-system synchronization
  .
• Strong analytical skills with the ability to investigate data issuesacross business processes and systems.
• Experience with data profiling, cleansing, standardization,deduplication, validation, reconciliation, and remediation.
• Strong documentation, communication, and stakeholder management skills.

• Experience with Salesforce CRM, Salesforce CPQ, Salesforce Revenue Cloud
  , or broader Salesforce ecosystem data models.
• Experience integrating MDM platforms with Salesforce, CPQ, billing, ERP,data warehouse, or lakehouse environments.
• Experience with Informatica Customer 360, Product 360, Reference 360,Cloud Data Quality, Cloud Data Governance, or Reltio Connected Data Platform /Reltio Data Cloud
  .
• Familiarity with APIs, batch integrations, event-driven integrations,data pipelines, data lineage, metadata management, and access controls.
• Experience with CPQ product structures, bundles, pricing rules,discounting, quote lines, contracts, assets, subscriptions, and renewals.
• Familiarity with revenue management concepts such as ASC 606, IFRS 15,performance obligations, revenue recognition, and SOX controls
  .
• Experience with SQL, Excel, BI tools, data profiling tools, datacatalogs, or cloud data platforms.
• Experience supporting quote-to-cash transformation, M&A dataonboarding, or enterprise data modernization.