01Key Responsibilities
End-to-End Data Transformation Delivery
Lead the full lifecycle of data migration and transformation across S/4 and o9 programsOwn the end-to-end strategy and execution for data migration from SAP ECC to S/4HANA, leveraging SAP DMLT and related toolsOversee analysis of current data landscape and define the appropriate target state aligned to enterprise architectureEnsure successful execution across build, testing, cutover, and post-go-live stabilizationMaintain accountability for delivery quality, timelines, and risk managementManage and optimize budget through automation and effective partner management
Target Architecture Delivery
Translate enterprise data strategy into a clear and executable target architecture within program scopeDefine data models, structures, and integration patterns required to support business and planning processesEnsure consistent implementation of architecture standards across systems and regionsBalance architectural integrity with program timelines and delivery constraints ensuring no technical debtStrong collaboration with tech and D&A peers to ensure usage of enterprise tools technology and templates to accelerate the program as possible leveraging AI enabled acceleration
Data Integration & Quality
Oversee end-to-end data integration across ERP, planning, and analytics platformsEnsure data quality, consistency, and reconciliation throughout migration and transformationIdentify and resolve data dependencies, issues, and risks across interconnected programs
Master Data Management and orchestration (SAP MDG & PEGA)
Lead the enhancement of master data processes and data models using SAP MDG (governance, workflows, validations, roles).Define and implement MDG driven governance for critical master data objects (materials, customers, vendors, recipes, plants, etc.) specific to Food & Beverage.Partner with PEGA teams to design and orchestrate end-to-end data workflows (requests, approvals, exceptions) integrated with MDG and S/4HANA.Ensure new processes are scalable, global template aligned, and support both central and local business needs.
Program Delivery & Governance
Own delivery of Data & Analytics workstreams across S/4 and o9 programsManage complex dependencies across regions, systems, and teamsDrive structured execution, including planning, tracking, risk mitigation, and issue resolutionEnsure alignment with overall program milestones and business readiness
Team Leadership & Execution Model
Lead a global cross-functional team spanning data engineering, architecture, testing, functional SMEs, and regional teams to deliver S/4 O9 platform and product outcomesLead teams through analysis, design, build, testing, and deployment phasesDefine clear roles, responsibilities, and accountability across internal teams and partnersFoster a delivery-focused culture with strong ownership and execution disciplineLead training and skilling in new technology capabilities collaborating with larger platform teamMentor and grow a high performing team
Testing, Cutover & Stabilization
Ensure comprehensive testing strategy covering data validation, reconciliation, and business readinessLead planning and execution of data cutover activities across regions and systemsOversee post-go-live stabilization, ensuring data issues are resolved quickly and sustainablyEnsure continuity of business operations during transition
Stakeholder Management & Communication
Act as the primary Data & Analytics delivery lead for these programsPartner closely with program leadership, business stakeholders, and technology teamsCommunicate progress, risks, and key decisions clearly to senior leadershipBuild trust through transparency, delivery consistency, and problem-solving
Change management and capability building
Provide strategic .