Job Title: SAP S/4HANA Functional Process Data Expert

Location: Remote

Duration: Contract

Position Overview

A global organization is undertaking several large-scale transformation programs, including an ECC to S/4HANA greenfield implementation. These programs require significant data conversion and migration, along with ongoing process and master data management.

We are looking for an experienced SAP S/4HANA Functional Process Data Expert to support a global greenfield S/4HANA deployment across multiple value streams (RTR, PTD, PLM, STP, OTC, etc.). This role is critical to ensuring that business data is fit-for-purpose, standardized, governed, and ready to enable successful process design, system build, migration, and adoption.

The Functional Process Data Expert will act as a bridge between business process owners, functional SAP teams, and the data enablement organization, ensuring that data requirements are fully embedded into solution design and execution.

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 regions.
Validate data readiness for end-to-end process execution (Plan, Source, Make, Deliver, Return).

Functional Process Data Ownership

Define data objects, attributes, and mandatory fields for relevant value streams.
Support business rules, validations, and derivations.
Align data structures and design to SAP best practices and industry standards.

Data Migration & Readiness

Support data cleansing, enrichment, harmonization, and validation activities.
Define and validate data mapping rules from legacy ECC and other 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.
Collaborate closely with Master Data and Data Governance teams.
Help define roles, ownership, and stewardship models for value stream data.
Contribute to data quality monitoring, issue management, and remediation processes.

Testing, Cutover & Hypercare

Support functional and integrated testing with a strong focus on data accuracy and completeness.
Validate business scenarios using migrated and newly created data.
Support cutover planning and execution from a data perspective.
Provide postgo-live support and stabilization during hypercare.

Required Qualifications

Experience

5+ years of SAP functional experience with a strong data focus.
Hands-on experience with SAP S/4HANA; greenfield implementation experience strongly preferred.
Proven involvement in large-scale, global ERP implementations.
Deep understanding of value stream business processes and related data objects.
Extensive experience in data migration, conversion, cleansing, and validation.
Strong experience with master data, including indirect materials and related domains.

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 versus ECC.
Experience working with SAP MDG or similar data governance tools (preferred).
Familiarity with data migration tools (e.g., SAP Migration Cockpit, LSMW, ETL tools).
Ability to read and interpret functional specifications, data models, and table definitions.
Experience defining and managing data in Profisee, especially for enterprise asset hierarchies.
Experience with Prometheus Asset Workbench highly desired (strong plus), but not required.

Soft Skills

Strong stakeholder management and communication skills.
Ability to work effectively across global, cross-functional teams.
Detail-oriented, with strong analytical and problem-solving skills.
Comfortable operating in a fast-paced, large-scale transformation environment.

Preferred Qualifications

Experience in manufacturing, building materials, utilities, or other asset-intensive industries.
Prior experience as a Functional Data Lead or Data Domain Lead.
Experience defining global templates and harmonized data models.
Knowledge of data quality tools, metrics, and KPIs.

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