Information Technology - Global Process Data Consultant Remote

Information Technology - Global Process Data Consultant job at Akaasa Technologies. Remote.

Job Title:

Information Technology - Global Process Data Consultant

• 5+ years of SAP functional experience with strong data focus.
• Hands-on experience with SAP S/4
  
  HANA (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.

• 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.

• Strong knowledge of SAP master data objects (e.g., Material, Vendor/Business Partner, BOM, Routings, Pricing, Customer, etc.).
• Understanding of S/4
  
  HANA 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.

• 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/4
    
    HANA.
  • 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
  • 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/4
    
    HANA.
  • 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.
• Testing, Cutover & Hypercare
  • Support functional and integrated testing with a strong focus on data accuracy.
  • Validate business scenarios using migrated and created data.
  • Support cutover planning and execution from a data perspective.
  • Provide post-go-live support and stabilization.