AR Migration Lead - SAP S/4HANA Data Cleansing & Cutover

LTM; Kampung Malaysia Tambahan; On-site; MYR 180,000 - 300,000; Full time

Job summary

LTM in Malaysia is seeking an AR Data Migration specialist to define migration scope, map data, and implement cleansing rules for SAP S/4HANA migrations. You will configure the Migration Cockpit, validate open items, and coordinate cutover activities with Finance and business teams.

The role requires experience with AR data migration, data quality assessment, and collaboration across IT and Finance to ensure accurate, reconciled historical balances during go-live.

Qualifications

• Experience in analyzing legacy AR data and identifying data quality issues.
• Ability to map source AR fields to target AR structures in SAP.
• Experience with transformation, defaulting and cleansing rules for data migration.

Responsibilities

• Define and validate migration scope for AR objects, including dependencies and reference data.
• Prepare source-to-target mappings for AR fields such as company code, customer/BP, document types, dates, currency, and accounts.
• Configure and execute AR migration using SAP S/4HANA Migration Cockpit and related approaches.
• Prepare, validate, load, and reconcile AR open items; perform data cleansing with Finance/business teams.
• Conduct migration testing (unit loads, mock migrations, SIT/UAT) and analyze cockpit/load errors; coordinate reloads.
• Coordinate business validation and obtain sign-off; develop cutover migration plan and support post-go-live AR issues.
• Maintain governance: mapping specs, migration rules, logs, runbooks, and cutover sign-off evidence.

Skills

Data mapping

Migration Cockpit

Data cleansing

S/4HANA knowledge

Open items reconciliation

Tools

SAP Migration Cockpit

Staging tables

Job description

LTM in Malaysia is seeking an AR Data Migration specialist to define migration scope, map data, and implement cleansing rules for SAP S/4HANA migrations. You will configure the Migration Cockpit, validate open items, and coordinate cutover activities with Finance and business teams.

The role requires experience with AR data migration, data quality assessment, and collaboration across IT and Finance to ensure accurate, reconciled historical balances during go-live.