MDM Data Specialist

AuxoAI Engineering • New York, NY

16h

About The Position

We are seeking an MDM Data Specialist to support master data transformation across customer, product, entitlement, CRM, CPQ, and revenue management domains in a SaaS environment. This role will help improve data quality, standardize master data, support governance, and enable scalable quote-to-cash processes aligned to Project Nova priorities such as Customer 360, product taxonomy, entitlements, CPQ-ready commercial structures, and revenue alignment. The ideal candidate has hands-on experience with an enterprise MDM platform such as Informatica MDM or Reltio, along with experience working across Salesforce CRM, CPQ, billing, contracts, subscriptions, entitlements, and revenue management data. Informatica positions its MDM capabilities around trusted single-source-of-truth and 360-degree master data views, while Reltio emphasizes identity resolution, data quality, survivorship, universal IDs, hierarchies, and relationship management.

Requirements

• 7+ years of experience in master data management, data governance, data quality, data operations, revenue operations, sales operations, product operations, 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 software environment.
• 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, account hierarchy, 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 issues across business processes and systems.
• Experience with data profiling, cleansing, standardization, deduplication, validation, reconciliation, and remediation.
• Strong documentation, communication, and stakeholder management skills.

Nice To Haves

• 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, data catalogs, or cloud data platforms.
• Experience supporting quote-to-cash transformation, M&A data onboarding, or enterprise data modernization.

Responsibilities

• 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.
• 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 hierarchy management, 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-cash automation.
• Maintain entitlement and subscription data, including customer-to-product mappings, lifecycle status, renewals, amendments, upsells, and install base visibility.
• 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 Architecture teams.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed