The HPE Supply Chain Planning organization represents a team of responsive, global product managers and experts who collaborate and develop accurate requirement plans for the wide variety of products that HPE offers its customers.
This global organization, focused on the services-led and software-enabled infrastructure and solutions, collaborate with functions like NPI, Product Engineering, Sourcing, PDM, Manufacturing, Logistics, & Strategy teams within the Supply Chain which leads to an accurate requirements plan that is communicated to our suppliers.
Roles and Responsibilities Defines and develops the value proposition for supply chain analytics solutions based on user needs, business value, industry requirements and understanding of advanced analytic models (statistical, operations research, predictive and prescriptive).
Conceptualizes, builds, develops, and enhances analytic models using right modeling methodology, available structured and unstructured data, cost and timing constraints to solve the large and complex business issues, discovers and delivers compelling and clear business insights across the planning and materials management organization.
Embeds analytic models into enhanced large scale business processes and operational systems by collaborating with Application Developers.
Drives improvements in planning metrics such as forecast accuracy, inventory management, service to our customers, and cost metrics.
Using unique visualization techniques, condenses large volumes of complex ideas into elegant and simple visual models. As a data evangelist, leads weekly meetings with Planning Leaders to provide key insights and align action plans to improve business results.
Collaborates with stakeholders in Demand, Supply, and Inventory and supplier / materials Management to ensure analysis of data considers ongoing business activities including HPE strategies, existing projects, new product introductions, etc.
Participates in supply chain design strategy for resilience and digital transformation. Develops agile and scalable models to provide end to end and real time visibility of supply chain Provides ad hoc analytics support to planning and materials management functions as needed Provides thought leadership on the design of visual management tools and the usage of data science, machine learning, artificial intelligence and other tools to advance supply chain performance.
Skills and Experience 10 years of experience in data analytics Strong analytical and problem solving skills Ph.D or Masters in Statistics / computer science / operations research / data science / industrial engineering / supply chain / manufacturing systems Deep understanding of machine learning / data mining algorithms and techniques Experiences in processing and analyzing both structured and unstructured data Proven ability to leverage analytical skills and knowledge for business value Solid knowledge of big data processing framework and tools, such as Spark, Hadoop, MapReduce, etc.
Proficiency in one or more programming languages including but not limited to Python, Java, Scala, R Proficiency in statistical tools such as R, SAS Proficiency in visualization tools such as libraries in R, Power BI, Tableau, Qlikview (PowerBi preferred) Ability to effectively communicate analysis results to customers and negotiate options at management levels Experience in working with supply chain, (demand planning, materials management, or inventory management preferred)