Job Description
Role: Global Process Data Consultant/Lead - Data-HR & Connected Apps
Location: Remote
Work timing: US EST Hours
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.
- 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.
- 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.
- 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.
- 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.
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