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IBM MDM at Persistent Systems · Bengaluru (Bangalore), Hyderabad, Pune, Nagpur, Mumbai · 4 - 13 years · ₹4L - ₹30L / yr · Profitable · Posted 17 Apr 2022

4 - 13 yrs
₹4L - ₹30L / yr
Bengaluru (Bangalore), Hyderabad, Pune, Nagpur, Mumbai
Skills
Data management
IBM MDM
Data-flow analysis
Material Master Data
skill iconData Analytics
skill iconData Science
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We have a urgent requirement for the post  of  IBM MDM (AE) profile
Notice period - should b e 15-30 days
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Shubham Vishwakarma

Full Stack Developer - Averlon
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About Persistent Systems

Founded :
1990
Type :
Services
Size :
100-1000
Stage :
Profitable

About

The company is a digital engineering and enterprise modernization partner that helps clients drive tangible business outcomes by combining technical expertise and industry experience. It works with industry-leading organizations across the world, including innovative US companies, largest banks in the US and India, and healthcare innovators. The company is recognized as market leaders in delivery and customer excellence, as rated by ISG Persistent, and was recently named to the Forbes Asia Best Under a Billion 2021 list.
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Pramila Ranjane
Posted by Pramila Ranjane
Hyderabad, Mumbai, Gurugram, Bengaluru (Bangalore)
3 - 7 yrs
₹12L - ₹20L / yr
Revenue Operations
Sales Operations
Product Operations
Master Data Management
Data governance
+27 more

Role & Responsibilities


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.


Ideal Candidate


  • Strong Master Data Management (MDM) Specialist Profile.
  • Mandatory (Experience 1) – Must have 3+ years of experience in Master Data Management (MDM), Data Governance, Data Quality, Data Operations, Revenue Operations, Sales Operations, Product Operations, or Enterprise Data Management roles.
  • Mandatory (Experience 2) – Must have hands-on experience working with an enterprise MDM platform such as Informatica MDM, Informatica IDMC, Reltio, or any comparable Master Data Management solution.
  • Mandatory (Experience 3) – Must have strong experience managing one or more master data domains including Customer Master, Product Master, Product Catalog, Account Hierarchy, Subscription, Contract, Billing, Revenue, Entitlement, or Reference Data.
  • Mandatory (Experience 4) – Must have working knowledge of business processes such as CRM, CPQ, Quote-to-Cash (QTC), Order-to-Cash (OTC), Billing, Entitlement Management, Subscription Management, Contract Management, or Revenue Operations.
  • Mandatory (Experience 5) – Must have strong understanding of core MDM concepts including Golden Record Creation, Match & Merge Rules, Survivorship Rules, Reference Data Management, Hierarchy Management, Data Stewardship Workflows, Data Quality Rules, and Cross-System Data Synchronization.
  • Mandatory (Experience 6) – Must have hands-on experience in data profiling, cleansing, standardization, deduplication, validation, reconciliation, remediation, and data quality improvement initiatives.
  • Mandatory (Hike) - AUXO AI follows a compensation policy of offering up to 25% hike on the candidate's current CTC. Candidates whose expectations exceed this range should be screened out during the initial discussion.
  • Mandatory (Note) - Only immediate joiners who are available to join within 15 days are considered.
  • Mandatory (Domain) – Must have experience working in SaaS, Subscription-based Businesses, Technology Companies, Enterprise Software Organizations, Cloud Product Companies, or Digital Platforms.
  • Preferred (Salesforce Ecosystem) – Experience working with Salesforce CRM, Salesforce CPQ, Salesforce Revenue Cloud, Sales Cloud, Service Cloud, or Customer 360 implementations.
  • Preferred (MDM Products) – Experience with Informatica Customer 360, Product 360, Reference 360, Cloud Data Quality, Cloud Data Governance, Reltio Connected Data Platform, or Reltio Data Cloud.
  • Preferred (Integration Experience) – Experience integrating MDM platforms with Salesforce, CPQ, Billing Systems, ERP Applications, Data Warehouses, Data Lakes, Lakehouse Platforms, or Enterprise Reporting Solutions.


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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.
Companies hiring on Cutshort
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