Master Data Management (MDM) Specialist (Oracle Fusion ERP )

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.

- Must To Have Skills: Proficiency in SAP Master Data Governance MDG Tool.

- Strong understanding of application development methodologies.

- Experience with integration of SAP MDG with other SAP modules.

- Ability to troubleshoot and resolve application issues effectively.

- Familiarity with data modeling and data governance principles.

Job Summary

We are seeking an experienced Informatica MDM Developer to design, develop, and implement Master Data Management (MDM) solutions using Informatica IDMC (SaaS). The role focuses on establishing a Single Source of Truth by integrating multiple data sources, enforcing data quality standards, and managing master data domains such as Customer, Product, Supplier, and Employee.

The engineer will collaborate closely with data stewards, data architects, and business stakeholders to deliver high-quality, governed enterprise data. The role requires willingness to support production MDM SaaS platforms and the data warehouse feeding MDM. When capacity permits, the candidate will also support GCP Data Engineering activities

Key Roles & Responsibilities

• Design and build Master Data Management (MDM) solutions using Informatica IDMC (SaaS).
• Create and manage data models for domains like Customer, Product, Supplier, and Employee.
• Configure Business 360 including UI, entities, and business rules.
• Develop and maintain match, merge, and survivorship rules to create accurate golden records.
• Build data integrations using Cloud Data Integration (CDI) and Cloud Application Integration (CAI).
• Develop and support REST APIs for real-time data exchange.
• Implement data quality, cleansing, and standardization rules using Cloud Data Quality (CDQ).
• Support data stewards in resolving data issues, merges, and exceptions.
• Monitor, troubleshoot, and optimize MDM SaaS platform performance.
• Support production MDM systems and the data warehouse feeding MDM.
• Collaborate with business and technical teams to deliver high-quality governed data.
• Willing to support GCP Data Engineering tasks when required (training provided).

Required Skills & Qualifications:

• Hands-on experience with Informatica IDMC (SaaS) including Business 360, Customer 360, or Product 360.
• Strong expertise in CDI, CAI, and CDQ.
• Solid understanding of relational and dimensional data modeling.
• Advanced SQL skills.
• Experience with REST/SOAP APIs, JSON, and XML.
• Familiarity with cloud data platforms such as Snowflake, Databricks, AWS Redshift, or Azure Synapse.

Experience & Education

• Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Experience:
• 3+ years of experience in Master Data Management (MDM).
• 1–2 years of hands-on experience with Informatica MDM SaaS / IDMC.
• Prior experience with Informatica On-Prem Multidomain MDM is a plus (with SaaS migration exposure).

.

Job Types: Full-time, Permanent

We are seeking an experienced Informatica MDM Developer to design, develop, and implement Master Data Management (MDM) solutions using Informatica IDMC (SaaS). The role focuses on establishing a Single Source of Truth by integrating multiple data sources, enforcing data quality standards, and managing master data domains such as Customer, Product, Supplier, and Employee.

The engineer will collaborate closely with data stewards, data architects, and business stakeholders to deliver high-quality, governed enterprise data. The role requires willingness to support production MDM SaaS platforms and the data warehouse feeding MDM. When capacity permits, the candidate will also support GCP Data Engineering activities

Key Roles & Responsibilities

• Design and build Master Data Management (MDM) solutions using Informatica IDMC (SaaS).
• Create and manage data models for domains like Customer, Product, Supplier, and Employee.
• Configure Business 360 including UI, entities, and business rules.
• Develop and maintain match, merge, and survivorship rules to create accurate golden records.
• Build data integrations using Cloud Data Integration (CDI) and Cloud Application Integration (CAI).
• Develop and support REST APIs for real-time data exchange.
• Implement data quality, cleansing, and standardization rules using Cloud Data Quality (CDQ).
• Support data stewards in resolving data issues, merges, and exceptions.
• Monitor, troubleshoot, and optimize MDM SaaS platform performance.
• Support production MDM systems and the data warehouse feeding MDM.
• Collaborate with business and technical teams to deliver high-quality governed data.
• Willing to support GCP Data Engineering tasks when required (training provided).

Required Skills & Qualifications:

• Hands-on experience with Informatica IDMC (SaaS) including Business 360, Customer 360, or Product 360.
• Strong expertise in CDI, CAI, and CDQ.
• Solid understanding of relational and dimensional data modeling.
• Advanced SQL skills.
• Experience with REST/SOAP APIs, JSON, and XML.
• Familiarity with cloud data platforms such as Snowflake, Databricks, AWS Redshift, or Azure Synapse.

Experience & Education

• Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.

Key Responsibilities

• Implement, configure, and support SAP Master Data Governance (MDG).
• Work on master data domains such as Business Partner, Customer, Supplier/Vendor, Material, and Finance.
• Configure change request types, workflows, validations, derivations, and business rules.
• Work with BRFplus, Floorplan Manager (FPM), and SAP MDG data models.
• Integrate SAP MDG with SAP S/4HANA and SAP ECC systems.
• Perform data replication using SAP DRF (Data Replication Framework).
• Troubleshoot data governance and replication issues.
• Prepare functional specifications and coordinate with ABAP developers.
• Support testing, data migration, deployment, and production incidents.

Required Technical Skills

• SAP MDG configuration and implementation.
• SAP MDG data models and change request management.
• Workflow configuration and approval processes.
• BRFplus, DRF, and SOA/ALE integration concepts.
• Knowledge of SAP S/4HANA and SAP Fiori.
• Understanding of master data quality, governance, and data migration.

Job Description:

Skill Set

Informatica, IDMC, Informatica MDM

Experience

4-6 Years

Location

Faridabad, Haryana, India

Work Mode- Hybrid

Job Description

Roles & Responsibilities

• Lead project team members through all activities required to successfully deliver Informatica.
• Define technical specifications for workflows and business rules.
• Prepare detailed design documents for data migration.
• Configure, build and unit test Informatica components, including data structures, roles, workflows, and portals.
• Train and mentor colleagues in Informatica implementation activities and best practices.
• Support integration, system, and user acceptance testing.
• Accountable for the Master Data Management, Technical Architecture, providing data modeling solutions and recommendations.
• Profile & Analyze Source Data usage using ETL tool.
• Automation, job scheduling, dependencies, monitoring.
• Configure/Script Business rules and transformation rules in ETL
• Data pipeline using IICS
• Hands on experience in Informatica MFT, Data Exchange (DX),and Data Transform (DT) modules
• Integration experience using various adapters (MLLP, SOAP, REST, SFTP, ODBC) will be essential.
• Strong knowledge and experience with developing complex SQL Queries, stored procedures, and triggers for RDBMS systems.
• Experience in administering, supporting, and performance tuning using Informatica.

Key Responsibilities

ERP Transformation Leadership

* Lead enterprise-wide ERP transformation initiatives across multiple business functions.

* Drive ERP strategy, process standardization, and digital transformation programs.

* Act as the single point of ownership for ERP implementation and business process redesign.

Business Process Analysis & Design

* Conduct stakeholder workshops to understand business requirements, challenges, and pain points.

* Analyze current-state (AS-IS) processes and design future-state (TO-BE) workflows.

* Personally create and maintain BRDs, FRSs, process flows, swimlane diagrams, and user stories.

Solution Design & Implementation

* Lead fit-gap analysis and solution design discussions.

* Define master data structures, security roles, maker-checker controls, and reporting requirements.

* Work closely with implementation partners to configure ERP solutions aligned with business requirements.

* Oversee data migration, UAT, training, and change management activities.

Governance & Stakeholder Management

* Manage project scope, timelines, risks, dependencies, and budgets.

* Partner with Finance, Operations, Technology, and Leadership teams to ensure business alignment.

* Provide regular project status updates and executive-level reporting.

* Build consensus across cross-functional stakeholders and drive timely decision-making.

🔹 Required Experience

* 10–15 years of experience in ERP, business process transformation, or enterprise transformation.

* Minimum 2 successful end-to-end ERP implementation projects.

* Proven hands-on experience creating BRDs, FRSs, process maps, workflows, and business specifications.

* Strong understanding of key enterprise business processes, including: 

* Procure-to-Pay (P2P)

* Order-to-Cash (O2C)

* Record-to-Report (R2R)

* CAPEX-to-Fixed Asset

* Revenue Recognition

* Inventory & Supply Chain Management

Ability to translate complex business requirements into scalable and practical ERP solutions.

Hiring: Data Modeler

Experience: 6+ years

Location: Bangalore/Gurugram/Pune

Required Skills

• Hands-on experience in conceptual, logical, and physical data modeling.
• Strong knowledge of ER modeling, dimensional modeling, star/snowflake schemas, fact/dimension tables, and SCDs.
• Strong SQL skills for data profiling, validation, and quality checks.
• Experience with source-to-target mapping, data dictionaries, metadata, and data lineage.
• Proficiency in Erwin, ER/Studio, or similar modeling tools.
• Exposure to Snowflake, Databricks, Redshift, SQL Server, or other data platforms.
• Understanding of data governance, UAT, reconciliation, and Agile methodologies.
• Strong analytical, documentation, and stakeholder management skills.

Preferred Qualifications

• Experience in enterprise data warehousing or lakehouse modeling.
• Knowledge of data products, data contracts, quality SLAs, and reusable datasets.
• Exposure to dbt, data cataloging, metadata management, and governance tools.
• Ability to work independently in a fast-paced environment.

If interested please share your cv at : snigdhaattheratebeanhr.com