18 Oct
|
Natural Selection Group
|
Melbourne
18 Oct
Natural Selection Group
Melbourne
This is: the job
Join a major SAP S/4HANA transformation where data quality is a critical part of delivering a successful migration. The organisation is consolidating data from a range of legacy environments into S/4HANA, with a strong focus across FI/CO and MM.
This is a hands-on data role, where you will get into the detail of the data, working with business SMEs and functional teams to determine what should migrate, what needs cleansing or rationalising, and how information should map into S/4HANA.
You will own assigned data objects across the migration lifecycle, from scoping and source-to-target mapping through cleansing, migration, reconciliation, defect resolution, dress rehearsals and production cutover.
This is: what you'll do
Analyse legacy MS Dynamics ERP and other source-system data to identify duplicates, inconsistencies and data quality issues
Drive hands-on data cleansing, de-duplication and rationalisation across multiple legacy environments
Collaborate with business SMEs to resolve incomplete, conflicting or duplicate records and determine the appropriate migration treatment
Define and maintain source-to-target mappings between legacy platforms and SAP S/4HANA
Manage assigned data objects through migration cycles, including mock conversions, dress rehearsals and production cutover
Deliver pre-load and post-load validation, reconciliation and data integrity checks
Investigate migration defects, identify root causes and coordinate resolution across business, functional and technical teams
Support migration of FI/CO and MM data, including procurement and purchase order-related information
Maintain clear documentation covering mapping, cleansing, validation, defects, risks, dependencies and migration outcomes
Collaborate with the Data Lead, functional consultants, testing teams, developers, business SMEs and delivery partners throughout the transformation
This is: what you'll need
Significant hands-on SAP data migration experience gained within large ERP or S/4HANA transformation programs
Strong experience across data cleansing, mapping, transformation, reconciliation and validation
Demonstrated success working with poor-quality, duplicated or inconsistent legacy data
Experience migrating data from non-SAP or legacy ERP environments into SAP S/4HANA
Experience with Microsoft Dynamics 365 and/or AX **** will be highly regarded
Strong SAP data knowledge across FI/CO and/or MM
Experience with procurement and purchase order-related data is highly desirable
Understanding of both SAP master and transactional data structures
Experience owning data objects through multiple migration cycles, dress rehearsals and production cutover
Strong source-to-target mapping, defect investigation and root-cause analysis capability
Confidence working directly with business SMEs to resolve complex data issues and make migration decisions
Experience within multi-ERP environments involving overlapping data is highly regarded
Knowledge of data governance, quality controls and regulated or audit-controlled environments such as JSOX will be advantageous
This is: the perks
Play a hands-on role in a significant S/4HANA transformation with a complex multi-system data landscape
Tackle meaningful data challenges created by legacy systems and acquisition activity
Build further S/4HANA transformation experience across Finance, Procurement and Materials Management data
This is: for positive
Apply with purpose. Be part of a placement that gives back. For every role we fill, we donate to a charity of the client's choice. We've surpassed $1 million donated and we're just getting started.
As a purpose-led recruitment business, NSG is committed to inclusive recruitment and welcomes applications from diverse backgrounds, including First Nations peoples and other underrepresented communities.
By applying for this role, you consent to Natural Selection Group collecting and using your personal information to assess your application and contact you about this and other relevant opportunities via phone, email or SMS. You can opt out at any time.
#J-*****-Ljbffr
📌 Sap Master Data Consultant (Melbourne)
🏢 Natural Selection Group
📍 Melbourne