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Supply Chain Operations Data Science Director

2 months ago

Spring, Texas, United States Hewlett-Packard Full time
Job Summary

As a Supply Chain Operations Data Science Director at Hewlett-Packard, you will lead a team of data scientists and strategic development managers to develop and deploy strategic supply chain solutions. You will partner with businesses across all supply chain domains to deliver financial benefits to the organization by providing technical capabilities and MOC to drive new, quality-focused solutions to adoption.

Responsibilities
  • Combine supply chain domain expertise, business acumen, and advanced analytics to lead organization-wide teams of supply chain data science, analyst, and engineer professionals.
  • Partner closely with business users, other HP data scientists, data architects, and experts to envision, drive, and deliver innovative, compelling, and quality AI solutions at speed and scale.
  • Work across the SCOR model, with a focus on end-to-end planning improvements, including inventory optimization.
  • Develop and diffuse innovations in inventory management, working capital optimization, network design, forecasting, complexity reduction, product planning, manufacturing, distribution, and related areas.
  • Lead the deployment of inventory optimization solutions in an operational environment.
  • Deploy and provide training of inventory optimization solutions to business customers and users.
  • Lead the analysis of the competitive AI and ML environment, leading customer uses, and metrics to determine the right set of features to drive engagement and business goals.
  • Lead the development of AI models for use across the supply chain that are scalable in the enterprise, including the maintenance strategy.
  • Leverage recognized domain expertise in cross-organization projects, business acumen, and overall data systems leadership to influence executive business leadership decisions, development partners, and industry standards groups.
  • Drive complex projects to mine data using modern tools and programming languages.
  • Provide clarity of action in critical strategic decisions and develop data-driven decision support processes in supply chain and related areas.
  • Work cross-functionally to develop data pipelines, AI models, and digital tools to drive efficiency and accuracy.
  • Define and implement data models to uncover patterns and predictions creating business value and innovation.
  • Communicate business value and innovation potential through effective insights and visualizations.
  • Assure insights are communicated regularly and effectively, reviewing designs, models, and accuracy and data compliance.
  • Represent the business at data science events, forums, and steering committees.
  • Prepare and present literature, presentations, invention disclosures for peer review and publication in industry data science domain initiatives and conferences.
  • Provide guidance, training, and mentoring to less experienced staff members.
  • Lead, coach, care for, and grow teams of customer-focused data scientists.
  • Organize and unblock collaboration and partnership at multiple levels, across business groups and functions to achieve the organizational mission.
  • Participate in performance management to enhance associate development; set expectations for high-performing work teams; manage pay recommendations and encourage personal and professional career development.
Requirements
  • Master's or PhD degree in Data Science, Industrial Engineering, Operations Research, Mathematics, Computer Science, or equivalent.
  • Experience modeling and deploying analytical and solutions, including generative AI, in a business setting with proven results.
  • Experience leading and developing data science professionals.
  • Typically 12+ years' industry experience.
Preferred Languages/Certifications
  • Python, R, Cloud-Based tools, OpenSource tools/code, and equivalent.
Knowledge and Skills
  • Extensive experience using statistics, mathematics, and programming languages to solve challenges.
  • Demonstrated innovation across the supply chain domains (Plan, Source, Make, Deliver, Return, Enable).
  • Demonstrated practical experience in an operational environment deploying inventory optimization solutions.
  • Experience implementing and handing off inventory optimization solutions to business customers and users.
  • Expertise with inventory optimization math and successful deployment of the mathematical formulas into a business process.
  • Fluent in structured and unstructured data, its management, and modern data transformation methodologies.
  • Ability to define and create complex models to pull valuable insights, predictions, and innovation from data.
  • Experience integrating and deploying computational analysis and Generative AI into business processes.
  • Effectively and creatively tell stories and create visualizations to describe and communicate data insights.
  • Strong leadership skills across people, process, and technology.
  • Strong analytical and problem-solving skills.
  • Excellent written and verbal communication skills; mastery in English and local language.
  • Ability to effectively communicate data product architectures and/or algorithm design proposals and negotiate options at senior management levels, BU, and executive levels.