The Advanced Analytics Office (AAO) within the Information Technology organization, is missioned with accelerating advanced Data and Analytics solutions across the Enterprise to unlock business value and create competitive advantage. These solutions target key operational metrics, such as, reducing cost, improving capital & asset efficiency, and improving operational efficiency. The Analytics solutions also target improving our market position by enabling business agility, reducing time-to-market to develop new products, and improving customer 360 experience. The solutions use cutting edge technologies and are delivered through a platform approach to enable rapid scaling across the Enterprise. These solutions span both Operational data and Big data platforms using both Cloud and On-premise environments. The solutions leverage the latest in analytics technologies, such as, Artificial Intelligence & Machine Learning (AI/ML), Digital Twin Simulations, and Operations Research based Optimization methods to deliver to business outcomes. We partner with over dozen factories across US and Asia that manufacture our Hard Disk Drive and Flash drives; these factories generate vast amounts of manufacturing and test data with tremendous amount of information. Apart from manufacturing data, our enterprise functions generate operational data which spans Business units, Sales & Marketing, Finance, Supply chain, Logistics, Procurement, and many other supporting functions. We continually seek to connect this data across the enterprise to enable rapid decision making. This journey is already in full swing, and we expect to continue to accelerate. The goal is to connect End-to-end enterprise information that enables rapid evaluation of next best decisions and optimize Enterprise resources and our position in the market. We are looking for a dynamic Senior leader (Distinguished Engineer role equivalent) who will play a pivotal role in helping accelerate the overall IT Connected Enterprise vision. We are looking for a leader who will take an enterprise view to understand complex cross-functional business processes and then take a hands-on approach to define, prioritize and lead implementation of foundation components required to connect the Enterprise. These components can span infrastructure review, Data fabric design, platform choices, Software stack and applications, and integration decisions.
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