Job Title: Information Technology - Global Process Data Consultant
Required Qualifications
Experience
5+ years of SAP functional experience with strong data focus.
Hands-on experience with SAP S/4HANA (greenfield preferred).
Proven involvement in large-scale, global ERP implementations.
Deep understanding of value stream business processes and related data objects.
Experience supporting data migration, cleansing, and validation.
Preferred Qualifications
Experience in manufacturing, building materials, or asset-intensive industries.
Prior role as Functional Data Lead or Data Domain Lead.
Experience defining global templates and harmonized data models.
Knowledge of data quality tools and metrics.
Technical & Functional Skills
Strong knowledge of SAP master data objects (e.g., Material, Vendor/Business Partner, BOM, Routings, Pricing, Customer, etc.).
Understanding of S/4HANA data model changes vs. ECC.
Experience working with SAP MDG or similar governance tools preferred.
Familiarity with data migration tools (e.g., SAP Migration Cockpit, LVM, ETL tools).
Ability to read and interpret functional specs and data models.
Key Responsibilities
Data Enablement & Solution Design
Partner with global and regional business stakeholders to define data requirements aligned to standardized value stream processes.
Translate business process designs into clear master and transactional data definitions for S/4HANA.
Support template design by ensuring consistent data models, attributes, and hierarchies across geographies.
Validate data readiness for end-to-end process execution (Plan, Source, Make, Deliver, Return)
Functional Process Data Ownership
Responsibilities include:
Defining data objects, attributes, and mandatory fields.
Supporting business rules, validations, and derivations.
Aligning data structures to SAP best practices and industry standards.
Data Migration & Readiness
Support data cleansing, enrichment, and harmonization activities.
Define and validate data mapping rules from legacy systems to S/4HANA.
Participate in mock conversions, data loads, and reconciliation activities.
Ensure data quality thresholds are met prior to cutover.
Data Governance & Standards
Support the establishment and enforcement of global data standards and policies.
Work closely with Master Data and Data Governance teams.
Help define roles, ownership, and stewardship models for value stream data.
Contribute to data quality monitoring and remediation processes.
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