MASTER DATA LEAD

Accountabilities • Define and execute the enterprise Master Data Management strategy and roadmap across Customer, Vendor/Supplier, Material/Product, Finance, Business Partner, and other strategic data domains. • Establish master data standards, policies, ownership models, stewardship responsibilities, governance processes, naming conventions, validation rules, and exception management practices across SAP and non-SAP environments. • Lead functional data governance by partnering with business process owners and data owners to establish definitions, business rules, approval workflows, and stewardship models. • Lead governance forums and drive alignment across Finance, Supply Chain, Procurement, Manufacturing, Commercial, Quality, Regulatory, and other business functions. • Design and deliver MDM solutions using platforms such as Syniti, SAP MDG, or equivalent solutions, including data quality controls, workflow automation, validation, and lifecycle management. • Own master data readiness for SAP S/4HANA transformation initiatives, including profiling, cleansing, harmonization, mapping, migration rules, validation, mock conversions, cutover preparation, and post-go-live stabilization. • Define and monitor data quality scorecards, cleansing rules, duplicate prevention mechanisms, mandatory field standards, audit trails, and governance KPIs. • Ensure master data processes support regulatory requirements, audit readiness, system validation, data integrity, and applicable controls in regulated environments. • Guide SAP functional, migration, integration, analytics, and business teams on master data models, dependencies, interfaces, standards, and quality requirements. • Drive consistent master data integration across SAP, legacy ERP platforms, PLM, LIMS, CRM, planning, warehouse, analytics, and other enterprise applications. • Lead MDM workstreams, tracking delivery progress, risks, issues, partner performance, data readiness, remediation activities, and operational metrics. • Translate complex data and technical topics into clear business implications and facilitate effective decision-making among technical and executive stakeholders. • Identify opportunities to simplify processes, automate controls, improve stewardship productivity, reduce data defects, and strengthen confidence in enterprise reporting. • Stay current with MDM technologies, SAP MDG capabilities, Syniti functionality, AI-enabled data quality approaches, and evolving industry best practices. • Build and mentor a high-performing MDM capability, including data stewards, analysts, functional SMEs, and technical specialists. Requirements • 12–15+ years of overall experience in Data Management, ERP, SAP, Data Governance, Data Quality, or Enterprise Applications, with at least 7 years leading enterprise MDM programs as an MDM Lead, Data Governance Lead, SAP Data Lead, MDM Architect, or equivalent. • Bachelor’s degree in Information Technology, Data Management, Engineering, Business Administration, Supply Chain, Finance, or a related discipline; a Master’s degree, MBA, or equivalent advanced qualification is preferred. • Strong working knowledge of SAP S/4HANA master data design and dependencies across Finance, Supply Chain, Manufacturing, Procurement, Sales, Quality, Planning, and related business processes. • Experience with SAP S/4HANA implementations or major ERP transformation programs, with exposure to multiple implementation, rollout, or data migration cycles preferred. • Hands-on expertise across master data domains including Business Partner, Customer, Vendor/Supplier, Material/Product, Finance, BOM, Routing, Work Centers, Plants, Storage Locations, Profit Centers, Cost Centers, GL Accounts, and organizational structures. • Experience with MDM and data governance platforms such as Syniti, SAP MDG, Informatica MDM, or comparable enterprise solutions. • Strong understanding of data governance operating models, data ownership, stewardship, workflow approvals, metadata, data quality controls, and data lifecycle management. • Proven experience in data profiling, cleansing, harmonization, enrichment, deduplication, migration mapping, validation, reconciliation, and cutover readiness. • Knowledge of SAP integration touchpoints with systems such as PLM, LIMS, CRM, planning, warehouse, analytics, and legacy ERP applications. • Familiarity with SAP modules including FI/CO, MM, SD, PP, QM, PM, EWM/WM, and IBP. • Strong understanding of regulated-industry requirements, including process controls, audit readiness, system validation, compliance, and data integrity. • Experience in medical devices, pharmaceuticals, life sciences, or other regulated global manufacturing environments is strongly preferred. • Proven ability to operate within fast-paced global or multinational matrix organizations and influence stakeholders across business and IT. • Excellent communication, interpersonal, stakeholder management, and change leadership skills, with the ability to engage senior leaders, data owners, technical teams, and external partners. • Demonstrated ability to manage governance forums, regulatory or audit discussions, partner teams, and senior-level escalations. • Strong analytical and problem-solving capabilities, with the autonomy to lead complex data challenges from strategic design through execution. • Certification in SAP, SAP MDG, Syniti, Data Governance, or an equivalent discipline is preferred. • Willingness and ability to travel approximately 30–40% within India and globally as required. Benefits • Remote position based in India. • Full-time employment opportunity. • Opportunity to work within a global Center of Excellence and multinational environment. • High-impact leadership role spanning enterprise data strategy, SAP transformation, governance, architecture, and operations. • Exposure to large-scale SAP S/4HANA transformation, MDM platforms, data migration, and global business processes. • Opportunity to build and mentor an enterprise-level Master Data Management capability. • Collaboration with senior business and technology stakeholders across global functions. • Approximately 30–40% travel within India and internationally, as business needs require. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1