MDM Data Specialist

AuxoAI Engineering Pvt. Ltd. | Full time MDM Data Specialist New York, United States We are seeking an MDM Data Specialist to support master datatransformation across customer, product, entitlement, CRM, CPQ, and revenuemanagement domains in a SaaS environment. This role will help improve dataquality, standardize master data, support governance, and enable scalablequote-to-cash processes aligned to Project Nova priorities such as Customer360, product taxonomy, entitlements, CPQ-ready commercial structures, andrevenue alignment. The ideal candidate has hands-on experience with an enterprise MDMplatform such as Informatica MDM or Reltio , along with experience workingacross Salesforce CRM, CPQ, billing, contracts, subscriptions, entitlements,and revenue management data. Informatica positions its MDM capabilities aroundtrusted single-source-of-truth and 360-degree master data views, while Reltioemphasizes identity resolution, data quality, survivorship, universal IDs,hierarchies, and relationship management. Key Responsibilities Manage and improve master data across customer, product, entitlement,account hierarchy, product catalog, subscription, contract, billing, andrevenue domains . Configure and support MDM platform capabilities, including datamodels, match and merge rules, survivorship rules, hierarchy management,validation rules, workflows, reference data, and data quality rules . Support integration of master data between MDM platforms and operationalsystems 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, issueresolution, 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, ProductOperations, Customer Success, IT, Data Governance, and Enterprise Architectureteams. Required Qualifications 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 . 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, dataquality 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. Preferred Qualifications Experience with Salesforce CRM, Salesforce CPQ, Salesforce RevenueCloud , 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. #J-18808-Ljbffr AuxoAI Engineering