Senior Consultant - Data Migration and Harmonization

We are looking for a passionate Data Migration and Cleanse and Harmonization Specialist, translating business requirements into data requirements to create data structures and data integration paths. They will identify, profile, cleanse and quality assess potential source data sets, understand and align with any data restrictions and support the data design elements of the S/4 Programme.

What you'll do:

• Data Strategy and Design: Translate business requirements into data requirements, architect fit-for-purpose data models, and define integration paths that deliver scalable, maintainable solutions.
• Business Partner Migration: Lead the migration of ECC Customers and Suppliers to S/4HANA Business Partner roles, ensuring robust BP configuration, data alignment, and continuity of business processes.
• Procurement Data Excellence: Harmonize Purchasing Information Records (PIRs), Quotas, Source Lists, and related procurement objects to improve sourcing decisions and supply resilience.
• Data Profiling and Quality: Identify, profile, cleanse, and assess the quality of source datasets; present clear insights to business partners and drive decisions that improve data fitness.
• Compliance and Controls: Understand and apply data restrictions and regulatory requirements, ensuring compliant data handling and robust governance across all activities.
• Partner Engagement: Work closely with business and IT partners to understand needs, translate technical information into business language, and build confidence in the data journey.
• Project Leadership: Plan, coordinate, and monitor data workstreams; allocate tasks; and track deliverables, risks, and issues to keep commitments on time and to standard.
• Insight Delivery: Acquire data from primary and secondary sources, analyze patterns and trends, and provide evidence-based recommendations that influence process and system design.
• Target Model Design: Support the design of target data models that adhere to enterprise standards, strengthening consistency and interoperability across domains.
• Operational Sustainability: Execute BAU activities to maintain continuity, support releases, and embed continuous improvements that uplift data operations at scale.

Essential for the Role:

• The role holder will possess a blend of SAP data requirement analysis, data quality analysis, data stewardship skills.
• Strong functional knowledge of and experience with SAP data structures in more than one module, e.g. MM, PP, FI, CO, QM, etc.
• Strong expertise in Business Partner (BP) configuration and setup in S/4HANA, including the migration of ECC Customers and Suppliers to the corresponding S/4HANA Customer and Supplier roles, together with the associated Business Partner data.
• Solid knowledge of Purchasing Information Records (PIRs), Quotas, Source Lists, and other procurement-related objects and processes.
• Vast exposure to data analysis - ability to guide team to perform data profiling, data analysis and present the insights to the business.
• Strong exposure to IT project lifecycle and SAP data management.
• Good communication skills - should be able to interact effectively with the partners.
• Experience in translating requirements into fit-for-purpose data models, data processing designs and data profile reports.
• Experience in working relevant domains, e.g. Pharma, R&D, Manufacturing, Commercial, Finance, HR, Legal, Facilities, etc.
• Knowledge on BI tools and information architecture are added advantages.
• Excellent written and verbal communication, and consultancy skills.
• Understanding of fundamental design principles behind a scalable application and data design.
• Ability to interpret and communicate technical information into business language.
• Carry out Business As Usual (BAU) activities required by the role.

Desirable for the Role:

• Strong SAP data knowledge and project management skills, with the ability to handle assigned activities, collaborate with the Data Analyst team, allocate tasks, monitor deliverables, and provide weekly status updates, including any risks or issues.
• Translate business requirements into data requirements to create data structures and data integration paths.
• Identify, profile and quality assess potential source data sets, understand and comply with any data restrictions (e.g. GDPR, etc.).
• Support the design of target data models (compliant to any set standards).
• Lead end-to-end management and execution of short or medium-sized projects and task-manage other data analysts or data developers as needed.
• Experience in coaching junior data analysts and guiding team members to improve their skills for future business data transformation.
• Good knowledge in improving operating models, ways of working and build the team to deliver effective data analysis services.
• Work with business and IT partners to understand the business and data requirements.
• Acquire data from primary or secondary data sources and perform data profiling.
• Identify, analyze, and interpret trends or patterns in complex datasets.
• Prepare a Data Contract, bus matrix, proof of concepts, source to target mapping, data gaps, data profiling and impact assessment.
• Locate and define new process improvement opportunities.
• Understand conceptual and logical data models (3NF) and their application within IT project and business data governance processes.
• Define data analysis standards and apply within all work products.
• Work with multiple IT roles, including Data Architects, Integration Architects and Information Architects, to embed the use of data analysis and data models within both project and strategic activities.