Requirement: Minimum two S4 HANA implementation experience and with MM/FI/SD/PM/QM knowledge. Should have work on the latest S4 releases. Interfaces IDOCs, Proxies, File Interfaces, Change Pointers, RFC, APIs Enhancements: BADI, Enhancement framework, User Exits, Customer Exits Forms Adobe, Smart forms Should have knowledge of traditional workflow. Nice to have, Flexible workflow experience in S4 HANA ABAP OO, BAPI, BAPI Extensions Excellent Debugging skills ABAP on HANA CDS, AMDP, Restful ABAP Programming, ODATA, API Nice to have ARIBA / Coupa Integration / GTS / Fiori (ODATA & UI5 / SLT / HANA migrations) skill. Nice to have knowledge on Side-by-Side Extension SAP BTP Must-Have Certifications Certification in ABAP on HANA (Desired)

Key Responsibilities: Analyze end-to-end business processes using Celonis Process Mining to identify inefficiencies, root causes, and data quality issues. Collaborate with Data Stewards, IT, and business units to ensure data governance policies are aligned with process insights. Develop and maintain dashboards and reports in Celonis to track key performance indicators (KPIs), data lineage, and governance metrics. Work with cross-functional teams to define and implement data governance controls and remediation strategies based on process analytics. Support the development of data dictionaries, metadata management, and data cataloging in alignment with enterprise data standards. Assist in the rollout of enterprise-wide data governance programs and compliance initiatives (e.g., GDPR, CCPA). Continuously monitor and assess data quality metrics and suggest corrective actions to improve data accuracy and reliability. Provide training and documentation on Celonis best practices and data governance processes to business stakeholders. Required Qualifications: Bachelors degree in Information Systems, Data Analytics, Business Administration, or a related field. 5+ years of experience in data governance, business process analysis, or data analytics roles. 2+ years of hands-on experience with Celonis EMS (Execution Management System) or comparable process mining tools. Strong understanding of data governance frameworks, data quality principles, and data lifecycle management. Proficient in SQL and working knowledge of data visualization tools (e.g., Power BI, Tableau). Excellent analytical and problem-solving skills, with a keen attention to detail. Strong communication and stakeholder engagement skills across technical and non-technical teams.

Bachelor'sMaster's Overview: We are seeking a highly skilled and experienced Celonis MDM Data Architect to lead the design, implementation, and optimization of our Master Data Management (MDM) solutions in alignment with Celonis Process Mining and Execution Management System (EMS) capabilities. The ideal candidate will play a key role in bridging data architecture and business process insights, ensuring data quality, consistency, and governance across the enterprise. Key Responsibilities: Design and implement MDM architecture and data models aligned with enterprise standards and best practices. • Lead the integration of Celonis with MDM platforms to drive intelligent process automation, data governance, and operational efficiencies. • Collaborate with business stakeholders and data stewards to define MDM policies, rules, and processes. • Support data profiling, data cleansing, and data harmonization efforts to improve master data quality. • Work closely with Celonis analysts, data engineers, and process owners to deliver actionable insights based on MDM-aligned process data. • Develop and maintain scalable, secure, and high-performance data pipelines and integration architectures. • Translate business requirements into technical solutions, ensuring alignment with both MDM and Celonis data models. • Create and maintain data architecture documentation, data dictionaries, and metadata repositories. • Monitor and optimize the performance of MDM systems and Celonis EMS integrations. Qualifications: Bachelors or Masters degree in Computer Science, Information Systems, Data Engineering, or a related field. • 7+ years of experience in data architecture, MDM, or enterprise data management. • 2+ years of hands-on experience with Celonis and process mining tools. • Proficient in MDM platforms (e.g., Informatica MDM, SAP MDG, Oracle MDM, etc.). • Strong knowledge of data modeling, data governance, and metadata management. • Proficiency in SQL, data integration tools (e.g., ETL/ELT platforms), and APIs. • Deep understanding of business process management and data-driven transformation initiatives.