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
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.








