Strategic Planning and Modeling Team (SPaM)
Job Summary Manage a team of Data Scientists and Strategic Development Managers to develop and deploy strategic supply chain solutions by harnessing Operations Research, Inventory Optimization, Machine Learning, and Generative AI advanced analytics. Partner with businesses across all supply chain domains (Plan, Source, Make, Deliver, Return, and within Enable) to deliver financial benefits to the organization by providing technical capabilities and MOC to drive new, quality-focused solutions to adoption. Lead the development of quality-focused, world-class supply chain advanced analytics and AI solutions, leading multiple projects to value capture based on value proposition and feasibility as well as develop business cases and financial models for investments.
Responsibilities
Combines supply chain domain expertise, business acumen, and advanced analytics to lead organization wide team or teams of supply chain data science, analyst & engineer professionals
Partners 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
Works across the SCOR model, with focus on end-to-end Planning improvements including inventory optimization
Develops and diffuses innovations in inventory management, working capital optimization, network design, forecasting, complexity reduction, product planning, manufacturing, distribution, and related areas
Leads deploying inventory optimization solutions in an operational environment
Deploy and provide training of inventory optimization solutions to business customers and users
Leads 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
Leads development of AI models for use across the supply chain that are scalable in the enterprise, including the maintenance strategy
Leverages 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
Drives complex projects to mine data using modern tools and programming languages
Provides clarity of action in critical strategic decisions and develops data-driven decision support processes in supply chain and related areas
Works cross-functionally to develop data pipelines, AI models, and digital tools to drive efficiency and accuracy
Defines and implements data models to uncover patterns and predictions creating business value and innovation
Communicates business value and innovation potential through effective insights and visualizations
Assures insights are communicated regularly and effectively, reviewing designs, models and accuracy and data compliance
Represents the business at data science events, forums and steering committees
Prepares and presents literature, presentations, invention disclosures for peer review & publication in industry data science domain initiatives and conferences
Provides guidance, training and mentoring to less experienced staff members
Leads, coaches, cares for, and grows teams of customer-focused data scientists
Organizes and unblocks collaboration and partnership at multiple levels, across business groups and functions to achieve the organizational mission
Participates in performance management to enhance associate development; sets expectations for high performing work teams; manages pay recommendations and encourages personal and professional career development
. Education & Experience Recommended
Master's or PhD degree in Data Science, Industrial Engineering, Operations Research, Mathematics, Computer Science, or equivalent
Experience modeling & deploying analytical and solutions, including generative AI, in a business setting with proven results
Experiencing leading & developing data science professionals
Typically 12+ years' industry experience
Preferred Languages / Certifications * Python, R, Cloud-Based tools, OpenSource tools/code, and equivalent. Knowledge & 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
The base pay range for this role is $146,650 to $234,600 annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only). Pay varies by work location, job-related knowledge, skills, and experience.
Benefits:
HP offers a comprehensive benefits package for this position, including:
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 (US benefits overview (https://www8.hp.com/h20195/v2/getdocument.aspx?docname=c07065756) )
The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.
Equal Opportunity Employer (EEO):
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
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