SAP S/HANA Finance Functional Data Consultant – Finance/RTR; Record to Report
Listed on 2026-03-01
-
IT/Tech
Data Analyst, Data Engineer, Data Warehousing, IT Business Analyst
Overview
Job Title: SAP S/4
HANA Finance Functional Data Consultant / Lead
Finance / RTR (Record to Report)
Location:
100% Remote India
Job Duration: 12 months
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.
- 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.
- 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.
- Master Data Objects: Knowledge of SAP master data objects (e.g., Material, Vendor/Business Partner, BOM, Routings, Pricing, Customer, etc.).
- S/4
HANA Data Model: Understanding of S/4
HANA data model changes vs. ECC. - Governance Tools: Experience working with SAP MDG or similar governance tools preferred.
- Migration Tools: Familiarity with data migration tools (e.g., SAP Migration Cockpit, LVM, ETL tools).
- Documentation: Ability to read and interpret functional specs and data models.
- Communication & Stakeholder Management: Strong stakeholder management and communication skills.
- Collaboration: Ability to work across global, cross-functional teams.
- Analytical Mindset: Detail-oriented with strong analytical and problem-solving skills.
- Adaptability: Comfortable operating in a fast-paced transformation environment.
- 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.
- Candidates should have good decision making skills. Taking ownership of the project—Cutover process, mapping, testing, validation, conversion – master data. Prefer hands-on but also functional – Mapping and testing of the conversion.
- Set up cost center and cc groups, profit center groups. MGD experience helpful; need to know how to do it.
- Product Costing – 1 FTE;
Intercompany – 1 FTE;
Financial Data / GL / Allocations – 2 FTE;
Projects / WBS – 1 FTE.
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