(Urgent Search) Master Data Management

Overview With data deeply embedded in our DNA PepsiCo Data Analytics and AI D AI transforms data into consumer delight We build and organize business-ready data and AI allowing PepsiCo s leaders to solve problems with the highest degree of confidence Our data analytics AI products and services ensure our digital transformation is delivered at scale enabling new revenue streams deeper partner relationships new consumer experiences and innovation across the enterprise As part of the Global Data AI Architecture team Architects are responsible for making PepsiCo s strategic vision real by defining the right architecture for conceiving initiating and shepherding high-priority data analytics and AI enabling capabilities The successful candidate will have a deep knowledge of master data management know how to simplify multi-faceted concepts into succinct messaging that sets and drives strategic direction and have a proven ability to work with others on complex projects Responsibilities Defines MDM architecture principles and design patterns and styles to support all styles of MDM Registry Consolidation Coexistence Centralization and for publishing and subscribing to master data for operational and analytical applications Defines tech strategy leads tech evaluation and selection including POCs for Master Data Management capabilities and secures alignment across the following stakeholders Global Data Governance Data Platform D AI leadership Perform regular and thorough market research both with our existing product vendors 3rd party research agencies like Gartner and prospective vendors to stay one step ahead of the latest trends in the MDM space Evolve technology strategy and north star architecture accordingly Evaluates existing MDM architectures and lays out roadmap to achieve north star architecture driving rationalization of existing MDM solutions across the enterprise Lead the Master Data Management Architecture Community of Practice providing coaching and guidance to D AI solution architects Enterprise Architects and program teams on the use of MDM capabilities principles and patterns Govern D AI products solution architectures to ensure alignment with MDM standards and minimize tech debt maximize reuse and speed to market Qualifications Experience 10 years implementing MDM solutions across domains for large multi-country enterprises with complex product lines with expert knowledge of master data harmonization standardization and the 4 styles of MDM Registry Consolidation Coexistence Centralization 10 years of experience with solution architecture across MDM and data integration Bachelor s Degree required master s degree preferred Consulting experience building data analytics and AI strategies for clients strongly preferred Experience working in large multinational enterprises Experience with large enterprise transformations Experience in CPG industry preferred Experience driving technology evaluations across a wide range of vendors using a formal evaluation process Functional Skills Expert knowledge of key MDM and Data Integration platforms such as Informatica MDM Informatica Data Integration Address Standardization tools like SAP Data Services Address Doctor Expert knowledge in MDM strategies and styles Registry Consolidation Coexistence Centralization and in delivering MDM solutions for complex large enterprises Exposure and understanding of existing digital and emerging technologies AI including Gen AI and how it can improve MDM Data Analytics Data Integration Systems thinking understanding of relationships between various systems Thorough understanding of the architecture guiding principles modern architecture and leveraging them to design forward-looking solutions Ability to demonstrate a mindset for the Conceptual Logical Physical levels of architecture and apply them effectively Familiarity with information management practices system development life cycle management IT services management infrastructure and operations and EA frameworks Ability to influence senior stakeholders on following technology strategy and solution design for key initiatives to align with standards and architecture guiding principles Differentiating Competencies Required Demonstrate interest in continuous self-learning and willingness to apply outside in thinking Constantly adaptable to an ever-changing set of priorities Master at the art of influencing to drive alignment at all levels of the organization from development teams on usage of design patterns to Sr VPs on tech strategy and solution rationalization Excellent collaboration skills also at all levels of the organization Executive level written verbal communication and presentation skills Ability to turn complex things and diverse data into meaningful insights conclusions and executive messaging Apply proper level of thoroughness and due diligence to architecture recommendations