Johnson Controls, a global leader in thermal management, mission-critical building systems, energy efficiency, and decarbonization, helps customers use energy more productively, reduce carbon emissions, and operate with the precision and resilience required in rapidly expanding industries such as data centers, healthcare, pharmaceuticals, advanced manufacturing, and higher education. For more than 140 years, Johnson Controls has delivered performance where it really matters. Backed by advanced technology, lifecycle services and an industry-leading field organization, we elevate customer performance, turn goals into real-world results and help move society forward. Our Digital Procurement Vision focuses on creating an agile, efficient, and integrated Procurement function with the expertise to continuously capitalize on technology advancements. This focus will help generate additional value for Procurement by achieving World Class savings effectiveness and enhancing productivity. Additionally, the broader enterprise will benefit from improved user experience and more efficient processes. Johnson Controls is making a considerable investment in AI tools including Palantir Foundry as part of our Digitization Journey. To achieve the desired outcomes within the specified timeframe, we are hiring an AI Data Modelling Analyst This role is responsible for leveraging AI tools including Palantir Foundry's capabilities to create and analyze data models, perform scenario analysis, and provide actionable insights to support decision-making processes. The successful candidate will work closely with category managers to understand requirements and deliver scenarios in an agile and interactive manner. The AI Data Modelling Analyst will work closely with the product owner to ensure that models are built to the defined standards. The analyst will also work to ingest new sources It is expected that the AI Data Modelling Analyst will shadow AI analysts and engineers “learning on the job” with a view to adding new sources and creating new scenarios to drive business value
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Job Type
Full-time
Career Level
Mid Level