Sr. Manager, Data And AI Systems Architecture

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AGCO is looking to hire candidates for the position of Senior Manager, AI and Data Systems Architecture.
We are seeking an experienced and innovative Senior Manager, AI and Data Systems Architecture to lead the design, creation, and evolution of system architectures for AI, analytics, and data systems within our organization. The ideal candidate will have extensive experience delivering scalable, high:performance data and AI architectures across cloud platforms such as AWS, Google Cloud Platform, and Databricks, with a proven ability to align technology solutions with business goals.
This individual will collaborate with cross:functional teams, including data engineers, data scientists, and other IT professionals to create architectures that support cutting:edge AI and data initiatives, driving efficiency, scalability, and innovation.
Your Impact
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Architecture Leadership: Lead the end:to:end architecture for AI and data systems, ensuring cost:effective scalability, performance, and security across cloud and on:premises environments. The goal is to build and support a modern data stack.
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AI and Data Systems: Design, implement, and manage data infrastructure and AI platforms, including but not limited to AWS, Azure, Google Cloud Platform, Databricks, and other key data tools. Lead the data model approach for all data products and solutions
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Cloud Expertise: Champion cloud adoption strategies, optimizing data pipelines, analytics workloads, and AI/ML model deployment, end point creation and app integration.
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System Evolution: Drive the continuous improvement and evolution of data and AI architectures to meet emerging business needs, technological advancements, and industry trends.
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Collaboration and Leadership: Work closely with delivery teams, data engineers, data scientists, software engineers, and IT operations to implement comprehensive data architectures that support AI and analytics initiatives focused on continuous improvement.
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Strategic Vision: Partner with business and technology stakeholders to understand long:term goals, translating them into architectural frameworks and roadmaps that drive business value.
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Governance and Best Practices: Ensure best practices in data governance, security, and compliance, overseeing the implementation of standards across AI and data systems.
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Performance Optimization: Identify opportunities to optimize performance, cost:efficiency, and operational effectiveness of AI and data systems including ETL, ELT and data pipeline creation and evolution and optimizing of AI resource models.
FUNCTIONAL KNOWLEDGE:
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Experience: 10 years of experience in data architecture, AI systems, or cloud infrastructure, with at least 3:5 years in a leadership role. Proven experience driving solutions from ideation to delivery and support.
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Cloud Expertise: Deep hands:on experience with cloud platforms like AWS, Google Cloud Platform (GCP), and Databricks. Familiarity with other data and AI platforms is a plus.
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CRM Expertise: Hands:on experience with key CRM systems like Salesforce and AI systems inside of those solutions (ex. Einstein).
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AI and Analytics Systems: Proven experience designing architectures for AI, machine learning, analytics, and large:scale data processing systems.
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Technical Knowledge: Expertise in data architecture, including data lakes, data warehouses, real:time data streaming, and batch processing frameworks.
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Cross:Platform Knowledge: Solid understanding of containerization (Docker, Kubernetes), infrastructure as code (Terraform, CloudFormation), and big data ecosystems (Spark, Hadoop).
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Experience in applying Agile methodologies, includ
Job Type: Permanent