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The Data Architect will lead the design and implementation of data products, collaborating with various product teams. Responsibilities include data modeling, ensuring adherence to data architecture guidelines, creating data quality standards, and managing a team of engineers. The position involves consulting on systems architecture and collaborating with Data Science teams.

The Senior Platform Engineer will manage and oversee the engineering, delivery, and operations of ADUSA's network platforms, focusing on data center networks. Responsibilities include the delivery of network infrastructure, incident restoration, and ensuring secure, reliable connectivity for retail locations and distribution centers.

The Senior Manager of Major Incident Management will lead a team to oversee the lifecycle of major incidents, ensuring timely response and resolution. They will facilitate communication with executives, drive best practices, perform root cause analysis, and ensure ITIL standards are met. The role involves coordinating with various IT functions and managing the communication lifecycle effectively across teams and stakeholders.

The IT Configuration Management Analyst IV is responsible for managing the Configuration Management process, maintaining configuration baselines, analyzing the CMDB use, and leading the definition of configuration standards. The role involves developing metrics, reporting on CMDB health, coordinating audits, and collaborating with IT teams to enhance capabilities and ensure compliance.

The IT Configuration Management Analyst is responsible for maintaining configuration baselines and inventory, analyzing CMDB usage, creating metrics and reports, defining configuration standards, and collaborating with the Configuration Specialist to ensure data management processes.

The Senior Manager of Major Incident Management leads a team of ITIL Certified Managers to oversee all major incidents, ensuring timely responses, effective communication, compliance with best practices, and coordination across various teams. Responsibilities include managing the incident lifecycle, facilitating executive communications, conducting root cause analyses, and driving continuous improvement initiatives.

The Lead Data Engineer is responsible for optimizing data pipelines and data architecture across multiple teams. They handle data mapping, modeling, and integration for various projects and ensure that the data delivery architecture meets ongoing project needs. The role requires problem-solving skills and collaboration with the QA team, as well as documentation of processes and change management.