Jobs / United States / Target Corporation
Director of Data Sciences - Supply Chain Network Planning and Design
Target Corporation · 🇺🇸 2 Locations
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 107 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Target Corporation paid sponsored hires in similar roles1 certified filing for “Sr. Director Marketplace Logistics” (Supply Chain Managers) in MN: $238k–$238k, median $238k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Last confirmed live 1 day agoWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Target Corporation
The US Department of Labor certified 107 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Target Corporation →
About the role
The pay range is $168,000.00 - $356,000.00 Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits . JOIN TARGET AS A DIRECTOR OF DATA SCIENCES – NETWORK PLANNING AND DESIGN About Us: Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here . Target’s Supply Chain is a large-scale, highly interconnected network spanning inventory, fulfillment, transportation, stores and distribution. Designing how that network should evolve requires solving complex decisions under uncertainty—balancing guest experience, cost, capacity, speed, resilience and capital investment. The Director of Data Sciences - Network Planning and Design leads the data science and operations research capabilities that power these decisions. In this role, you will lead a team of data scientists responsible for building the analytical models and decision-support systems that shape Target’s long-term supply chain architecture and investment roadmap. Your team will develop and evolve a portfolio of optimization models, simulations, digital twins, forecasting and capacity models as well as scenario-planning tools used to evaluate billions of dollars in potential network and capability investments. As a Director of Data Sciences – Network Planning and Design you will: Leadership and Cross-Functional Partnerships • Lead, develop, and inspire a high-performing team of data scientists and operations research practitioners • Set the analytical vision and roadmap for Network Planning & Design, translating strategic business questions into quantitative decision frameworks • Serve as a thought leader in advanced analytics and supply chain network design, connecting technical work to business strategy • Partner across Supply Chain, Finance, Technology, Stores, and other teams to ensure analytical capabilities address Target’s most important network decisions • Influence VP+ leaders by clearly communicating recommendations, trade-offs, uncertainty, and business impact Advanced Modeling & Decision Science • Lead the development of optimization, simulation, forecasting, digital twin, and machine learning capabilities supporting Target’s long-term network strategy • Apply operations research and advanced analytics to decisions including network footprint, capacity planning, inventory placement, product flow, automation, transportation, and reverse logistics • Ensure models accurately represent real-world constraints, uncertainty, and operating dynamics while remaining scalable and actionable • Establish strong practices for scenario analysis, sensitivity testing, model validation, and decision support • Build reusable analytical capabilities that enable faster and more consistent strategic decision-making Tech, Data, AI and Innovation • Partner with Engineering, Product, and Technology teams to transform analytical models into scalable decision-support tools and products • Adv