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Build teams to deliver highly performant and scalable data products and platforms. Drive data engineering best practices, lead multiple high-performing teams, and modernize tech stacks. Collaborate with internal teams to identify automation and machine learning opportunities.
Build teams to deliver highly performant and scalable data products and platforms, drive data engineering best practices, lead multiple high performing teams, collaborate with enterprise partners, modernize tech stacks, drive automation and machine learning opportunities, implement new applications
Demonstrates application, development, and evolution of business processes and continuous improvement initiatives for ADUSA Procurement. Collaborates with cross-functional business partners to drive process consistency, efficiency, and effectiveness. Provides data-driven recommendations to inform leadership decisions and supports a culture of continuous improvement.
The Business Process Analyst III role focuses on driving continuous improvement initiatives for supply chain processes at ADUSA Procurement. Responsibilities include analyzing and prioritizing process improvement opportunities, developing business cases, testing and deploying process changes, and providing data-driven recommendations for leadership.
The Business Process Analyst III at ADUSA Procurement is responsible for identifying and prioritizing process improvement opportunities across the supply chain, developing business cases, and driving continuous improvement initiatives. They work with cross-functional teams to streamline processes and provide data-driven recommendations to enhance efficiency and effectiveness.
Demonstrate application, development, and evolution of business processes and continuous improvement initiatives for a supply chain services company. Provide detailed analyses, prioritize process improvement opportunities, and drive process consistency and efficiency. Partner with cross-functional teams to unlock value and inform leadership decisions through data-driven recommendations.
Manage and own the master data platform, collaborating with various teams to analyze problems and recommend data-informed solutions. Responsible for ensuring data security, compliance, and software maintenance. Develop and represent data pipelines, lead the data vision, and stay updated on industry trends. Qualifications include a Bachelor's degree in Computer Science or related field, 5+ years of experience, and advanced technical expertise.
The Manager - Master Data Platform Owner role involves collaborating with various teams to analyze complex problems and recommend data-informed solutions for business advancement. Responsibilities include ensuring optimal implementation of solutions, maintaining application ecosystem, leading data vision, ensuring regulatory compliance, and more.
The Lead Data Engineer will be responsible for expanding and optimizing data architecture, data pipeline architecture, and data flow for cross functional teams. They will drive data initiatives and ensure consistent data delivery architecture throughout projects.
The Lead Data Engineer will be responsible for expanding and optimizing data architecture, optimizing data flow, and supporting multiple teams with data needs. They will work on complex data issues, design data pipelines, and ensure change management procedures are followed. The role involves data analysis, BI dataset development, and data lineage analysis.
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