MDM Data Specialist

Posted 25 Days Ago
Be an Early Applicant
Bengaluru South, Bengaluru Urban, Karnataka, IND
In-Office
Mid level
Artificial Intelligence • Software • Consulting • Generative AI
The Role
Manage and improve master data across customer, product, entitlement, subscription, contract, billing, and revenue domains. Configure and support MDM platform capabilities, integrate MDM with CRM/CPQ/billing/ERP/data platforms, create golden records and account hierarchies, perform profiling, cleansing, reconciliation, root-cause analysis, and document data definitions, mappings, lineage, and stewardship processes while partnering with cross-functional teams.
Summary Generated by Built In

Role: MDM Data Specialist

Location: Bangalore/Hyderabad/Gurgaon/Mumbai

Key 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.

Required Qualifications

  • 3-7+ 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.

Preferred Qualifications

  • 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.


Skills Required

  • 3-7+ years experience in master data management, data governance, data quality, data operations, revenue operations, sales operations, product operations, or related data role
  • Hands-on experience with an MDM platform such as Informatica MDM, Informatica IDMC, Reltio, or 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: golden record, match/merge, survivorship, reference data, hierarchy management, stewardship workflows, data quality rules, cross-system synchronization
  • Strong analytical skills 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
  • Experience with Salesforce CRM, Salesforce CPQ, Salesforce Revenue Cloud
  • 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
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The Company
HQ: San Francisco, CA
Year Founded: 2022

What We Do

AuxoAI partners with enterprise leaders to build AI systems, enabling the creation of AI-first enterprises by moving from AI strategy to production-grade deployed systems in weeks.

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