Senior Director

End-to-End Data Transformation Delivery Lead the full lifecycle of data migration and transformation across S/4 and o9 programs Own the end-to-end strategy and execution for data migration from SAP ECC to S/4HANA, leveraging SAP DMLT and related tools Oversee analysis of current data landscape and define the appropriate target state aligned to enterprise architecture Ensure successful execution across build, testing, cutover, and post-go-live stabilization Maintain accountability for delivery quality, timelines, and risk management Manage 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 scope Define data models, structures, and integration patterns required to support business and planning processes Ensure consistent implementation of architecture standards across systems and regions Balance architectural integrity with program timelines and delivery constraints ensuring no technical debt Strong 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 platforms Ensure data quality, consistency, and reconciliation throughout migration and transformation Identify 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 programs Manage complex dependencies across regions, systems, and teams Drive structured execution, including planning, tracking, risk mitigation, and issue resolution Ensure 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 outcomes Lead teams through analysis, design, build, testing, and deployment phases Define clear roles, responsibilities, and accountability across internal teams and partners Foster a delivery-focused culture with strong ownership and execution discipline Lead training and skilling in new technology capabilities collaborating with larger platform team Mentor and grow a high performing team Testing, Cutover & Stabilization Ensure comprehensive testing strategy covering data validation, reconciliation, and business readiness Lead planning and execution of data cutover activities across regions and systems Oversee post-go-live stabilization, ensuring data issues are resolved quickly and sustainably Ensure continuity of business operations during transition Stakeholder Management & Communication Act as the primary Data & Analytics delivery lead for these programs Partner closely with program leadership, business stakeholders, and technology teams Communicate progress, risks, and key decisions clearly to senior leadership Build trust through transparency, delivery consistency, and .