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MDM Data Specialist
MDM Data Specialist

MDM Data Specialist at Auxo AI · Bengaluru (Bangalore), Mumbai, Hyderabad, Gurugram · 3 - 15 years · ₹15L - ₹45L / yr · Raised funding · Posted 3 Aug 2026

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MDM Data Specialist

Hema Dekonda's profile picture
Posted by Hema Dekonda
3 - 15 yrs
₹15L - ₹45L / yr
Bengaluru (Bangalore), Mumbai, Hyderabad, Gurugram
Skills
MDM
Informatica MDM
Data modeling
Data governance

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.



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About Auxo AI

Founded :
2022
Type :
Services
Size :
100-1000
Stage :
Raised funding

About

N/A

Company social profiles

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  • Knowledge of Azure services such as Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, Azure SQL Database, or equivalent.
  • Strong understanding of data architecture and data lifecycle management.
  • Excellent stakeholder management, communication, analytical, and problem-solving skills.
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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