The Cat® Digital group is the digital and technology arm of Caterpillar Inc., responsible for bringing world class capabilities to our products and services. With almost one million connected assets worldwide, we're focused on using IoT and other data, advanced analytics, and ML/AI capabilities to help our customers build a better world. To accomplish this, we’re deploying analytics that generate insights, recommend optimized decisions, and improve products by intelligently integrating massive quantities of telematics information, transactional records, images, unstructured documents, and other data sources.
The IoT Analytics Manager is the hands-on manager who demonstrates significant strategic thinking and leads a group of data scientists and engineers. The right candidate is responsible for marrying Enterprise and Business Unit strategy to the opportunities provided by advanced analytics. The IoT Analytics Manager needs to be an excellent communicator and to have shown clear development as a strategic thinker. The right candidate needs to be analytically expert, with firsthand experience designing, implementing, and deploying analytics solutions. The incumbent needs a breadth of knowledge and experience, with deeper experience in at least two domains such as product development, design, marketing, logistics, purchasing, aftermarket, or manufacturing. The right candidate needs to demonstrate an extremely strong customer focus, strong leadership, and solid initiative.
This role requires technical expertise to supervise and guide highly technical analytics work, assess technical talent, and guide technical employee development. Hands-on work on select projects will be required. This role also requires a long-range focus on business strategy. Key responsibilities include planning for future resources and developing capabilities in terms of people and technology; consciously creating and maintaining an organizational culture that encourages innovation, collaboration, and customer focus; fostering a sense of urgency toward business success; involving and integrating key stakeholders to insure project success; communicating alignment of analytics to business strategy, goals, and direction; and continuous improvement.
M.S. or Ph.D. degree in a quantitative discipline such as mathematics, data science, statistics, operations research, econometrics, finance, computer science, or in mathematical areas of physics, electrical and mechanical engineering
Strong expertise in machine learning/AI, anomaly detection, and their application to data modeling and analysis
5 + years of advanced analytics expertise working with large datasets (focus on time-series analysis is preferred)
5 + years of leadership experience in a corporate environment developing, deploying, and integrating advanced analytics capabilities to generate demonstrated business value
TOP CANDIDATE WILL ALSO HAVE:
Strong leadership skills
Strong people management skills
Demonstrated capability to take initiative and lead in the presence of ambiguity to deliver innovative solutions
Strategic thinking capability to develop and communicate a clear and compelling vision for analytics
Excellent presentation and communication skills
Experience leading and mentoring a team of junior and senior staff and shaping a culture to drive a focus on accountability
Experience interacting with upper management to identify and communicate analytics opportunities and serve as a thought leader for analytics
ADDITIONAL DESIRED QUALIFICATIONS:
Python programming skills
Experience building or working with the popular cloud data and analytics platforms (such as AWS, Azure, etc.)
Experience operating in Agile environment
Experience working with software developers
Understanding of the Internet of Things and device telemetry
EEO/AA Employer. All qualified individuals - Including minorities, females, veterans and individuals with disabilities - are encouraged to apply.
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