Success requires a strategic, well-rounded leader capable of operating with high autonomy in an ambiguous, fast-paced environment. You must seamlessly transition between executive-level strategic framing and tactical root-cause resolution, acting as a courageous advocate for data integrity across our AI Infrastructure space.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $188000 - $274000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Direct complex initiatives across PLM (Agile/Windchill) and SAP S/4HANA MDG, covering data onboarding, system landscape migrations, and capability upgrades.
Act as the resident authority on PLM and SAP MDG/MDM data, system processes, operational procedures, and enterprise governance policies.
Partner with stakeholders to establish data standards, business rules, and sustainable governance workflows for the creation, change, and ongoing maintenance of master data.
Author and align critical process flows, policy documentation, RACI frameworks, and decision-making structures across shared data domains.
Lead organizational change management and user training, establishing recurring audits and key quality metrics for monthly and quarterly reviews.
Minimum qualifications
Bachelor's degree or equivalent practical experience.
8 years of experience in program or project management.
8 years of experience with SAP as a supply chain business process subject matter expert (SME) or functional lead, with experience in one or more core domain: Planning, Procurement, Manufacturing Operations, or Product/Master Data Management (MDM).
Experience across end-to-end supply chain operations, with experience in core processes from demand forecasting through product realization.
Experience with SAP systems (e.g., SAP S/4HANA, SAP MDG, ECC) and enterprise data structures (Material Master, BOMs, Enterprise Structure).
Preferred qualifications
MBA or Master's degree in Supply Chain, Industrial Engineering, or related fields.
APICS/ASCM (CPIM, CSCP) or PMP certification.
8 years of experience as a supply chain business process owner, or as a program manager leading enterprise supply chain business process transformation initiatives.
Deep knowledge of bidirectional PLM-to-ERP/MRP integrations and complex enterprise data structures.
Functional SME deploying PLM/PDM platforms, SAP S/4HANA Master Data Management (MDM), and Master Data Governance (MDG).
Proven track record authoring business policies, mapping process flows, training users, and driving alignment across executive and cross-functional teams.
Bachelor's degree or equivalent practical experience.
8 years of experience in program or project management.
8 years of experience with SAP as a supply chain business process subject matter expert (SME) or functional lead, with experience in one or more core domain: Planning, Procurement, Manufacturing Operations, or Product/Master Data Management (MDM).
Experience across end-to-end supply chain operations, with experience in core processes from demand forecasting through product realization.
Experience with SAP systems (e.g., SAP S/4HANA, SAP MDG, ECC) and enterprise data structures (Material Master, BOMs, Enterprise Structure).
