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SAP MDG Consultant / SAP Master Data Governance Consultant

  • Full Time, onsite
  • Amaze Systems Inc.
  • On Site Hybrid, United States of America
Salary undisclosed

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Job Description

Job Description

Hello Professionals, I hope you are doing well!

This is RASHEED AKBAR from "Amaze Systems Inc." and I have the following position. Please let me know if you are interested / have anyone. Thanks!

POSITION#: 1030717

Position: SAP MDG Consultant / SAP Master Data Governance Consultant (Large Finance Transformation Project - $25M and above)

No. of Positions: 01

Work Location: Irvine, California (Hybrid Onsite)

Duration: Contract-To-Hire

Client / Implementer: Tech Mahindra

Required Skills: Min. 15 years of experience in IT or SAP ERP, SAP MDG, S/4 HANA, Large finance transformation projects ($25M), Data modelling, Process modelling, Configuration rule-based Workflow, Data Replication Framework (DRF), Business Rules Framework plus (BRFplus), Knowledge - SAP ERP logistics (SAP modules SD or MM), especially master data etc.

Job Description:

Qualifications:

  • Must have hands on experience in managing minimum 5+ large finance transformation projects valuing $25M per annum
  • 15+ years' experience needed and 4+ projects worked earlier
  • SAP Certifications: SAP, R3, S4HANA, HANA, S/4, MDG
  • Degree in Computer Science, MBA, Business, Engineering, Information Systems, Technical, Information Technology, Business/Administration, Education, Technology.

Required Skills & Experience:

  • Good Technical and Functional Knowledge in SAP MDG
  • Experience in SAP MDG Co-Deployment / HUB Deployment mode
  • Extensive S/4 HANA experience
  • Worked on at least 2 MDG projects
  • Expertise in Implementation of SAP MDG Solution for masters like Customer, Vendor, Material, Finance Profit Centre, Cost Centre and GL Account
  • Data modelling , Process modelling , Configuration rule-based Workflow
  • Data Replication Framework (DRF), Business Rules Framework plus (BRFplus)
  • Set up replication model with help from technical team
  • Experience in User interface modelling
  • Data load setup and actual data load
  • Expertise in Data Model Enhancement, Data Transfer (DIF/DEF), Data Replication Framework (DRF), Business Rules Framework plus (BRFplus)
  • Responsible for process design, configuration and assistance with testing
  • Experience in Configuration rule-based Workflow
  • Experience in User interface modelling (Design and Creation of UI, Value restriction, Define navigation elements of type Hyperlink or Push button, Data quality, Validation and Derivation rules)
  • Experience in Process Modelling (Entity, Business Activity change, Request type, Workflow, Edition type, Relationship, Data replication techniques, SOA service, ALE connection, Key & value mapping, Data transfer, Export & import master data, Convert master data)
  • Expert knowledge in activation and configuration of the MDG modules & components
  • SAP ERP logistics knowledge (SAP modules SD or MM), especially master data is required
  • Experience in Configuration rule-based Workflow
  • Experience in User interface modelling (Design and Creation of UI, Value restriction, Define navigation elements of type Hyperlink or Push button, Data quality, Validation and Derivation rules)
  • Experience in Process Modelling (Entity, Business Activity change, Request type, Workflow, Edition type, Relationship, Data replication techniques, SOA service, ALE connection, Key & value mapping, Data transfer, Export & import master data, Convert master data).

Best Regards,

Rasheed Uddin Akbar | Talent Acquisition Specialist
Amaze Systems Inc.

USA: 8951 Cypress Waters Blvd, Suite 160, Dallas, TX 75019

Canada: 55 York Street, Suite 401, Toronto, ON M5J 1R7

Desk#: +1 (669) 336-4352

Email: [email protected] | www.amaze-systems.com/

LinkedIn: https://www.linkedin.com/in/akbarrasheed/

Amaze Systems is an Equal Opportunity Employer (EOE), and does not discriminate based on age, gender, religion, disability, marital status, race and also adheres to laws relating to non-discrimination on the basis of national origin and citizenship status.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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