AuxoAI

MDM Data Specialist

AuxoAI  •  Hyderabad, IN (Onsite)  •  12 hours ago
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Job Description


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.
AuxoAI

About AuxoAI

"AI Made Real" is our mission at AuxoAI.

AuxoAI partners with Fortune 500-scale enterprises to design and deploy Agentic AI systems to increase innovation velocity. We meet enterprises where they are in their AI journey, from building data foundation to deployed functional products. AuxoAI enables the creation of AI-first enterprises with domain experts, agentic execution, and IP platform for enterprise governance and reliability.

Industry
IT & Software
Company Size
201-500 employees
Headquarters
San Francisco Bay Area, CA
Year Founded
2022
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