Global Process Data Consultant (STP)

Description: The team has people in EMEA and the majority of the activity is being conducted in APAC next year, so please source for candidates in EMEA or APAC only. Each of which requires conversion and migration of data, and ongoing process (reference, conditional, configuration, transactional, and etc. ) data management.

Description: The team has people in EMEA and the majority of the activity is being conducted in APAC next year, so please source for candidates in EMEA or APAC only.

Global Process Data Consultant (Source to Pay) STP
100% Remote open to any area
Max bill rates:

India - ***/hr.
Brazil - ***/hr.

The manager will be out on PTO October 5th -19th, so please set the expectation with candidates.

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, Outline Agreements, PIRs, Source Lists, 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., ADM, SAP Migration Cockpit, LVM, ETL tools).
" Ability to read and interpret functional specs and data models.
Soft Skills
" Strong stakeholder management and communication skills.
" Ability to work across global, cross-functional teams.
" Detail-oriented with strong analytical and problem-solving skills.
" Comfortable operating in a fast-paced transformation environment.

Preferred Qualifications:

Experience with COUPA would be a HUGE plus.
Candidates with strong procurement experience will be preferred.
" 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.

Position Purpose:

Kimberly-Clark is currently undertaking several large-scale global transformation projects.
Each of which requires conversion and migration of data, and ongoing process (reference,
conditional, configuration, transactional, and etc..) data management. We are seeking
experienced SAP S/4HANA Functional Process Data Experts to support a global greenfield
S/4HANA implementation across all value streams (RTR, PTD, PLM, STP, OTC&business
processes). 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 the 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 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.

Custom Fields:
Name: Project Name
Value: Aurora

Name: Are expenses allowed
Value: Yes

Name: Study Number
Value: None