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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 Strategic Supply Chain Analytics Director at Hewlett-Packard, you will lead a team of data scientists and strategic development managers to develop and deploy strategic supply chain solutions by harnessing advanced analytics, operations research, and machine learning.

Key Responsibilities
  • Manage a team of data scientists and strategic development managers to develop and deploy strategic supply chain solutions.
  • Partner with businesses across all supply chain domains to deliver financial benefits to the organization.
  • Lead the development of quality-focused, world-class supply chain advanced analytics and AI solutions.
  • Develop business cases and financial models for investments.
  • Combine supply chain domain expertise, business acumen, and advanced analytics to lead organization-wide teams.
  • Partner closely with business users, data scientists, data architects, and experts to envision, drive, and deliver innovative AI solutions.
  • 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.
Benefits
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • Generous time off policies, including 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave