SAP Data Migration, Kinaxis Integration; ECC to SAP S​/HANA

Position: SAP Data Migration, Kinaxis Integration (ECC to SAP S/4 HANA)
Job Title:

SAP S/4

HANA Data Migration Lead/Architect – Supply Chain,

Job Location:

Remote Job India/ China or similar time zone
Job Duration: 12 months

Data Conversion from  ECC to SAP S/4 HANA
Kinaxis  is highly desirable
D ata conversion process SAP knowledge is required
Supply chain, production planning, recipes, material purchase, supply chain.
May be mapping, governance, data team and project management related activities.

Position

Purpose:

We are 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/4

HANA Functional Process Data Experts to support a global greenfield S/4

HANA 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/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

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/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.

Required Qualifications
Experience

• 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.

Technical & Functional Skills

• 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.

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 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.