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Salary
$111k – $247k per year (Estimated)
Location
Remote (India)
Seniority
Staff · 10+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Nike is a designer, marketer, and distributor of athletic footwear, apparel, equipment, and accessories for a wide variety of sports and fitness activities in addition to providing lifestyle products.

WHO YOU’LL WORK WITH

This role reports to the Engineering Manager within the Supply Chain Planning & Technology organization. You will work closely with business users, engineering teams, product managers, and cross-functional stakeholders to ensure O9-based Integrated Business Planning solutions-covering Assortment Planning, Demand Planning, Supply Planning, Inventory Optimization, and Deployment-are designed and implemented to meet operational needs and align with industry best practices.

WHO WE ARE LOOKING FOR

We are seeking a passionate individual who enjoys solving complex business problems across demand and supply planning. The role requires strong experience delivering Integrated Business Planning (IBP) solutions end-to-end, ideally using o9, with hands-on configuration and implementation across the full lifecycle.

As a Lead Software Engineer you will translate business needs into scalable technical designs, lead solution architecture decisions, and drive high-quality delivery in partnership with product and cross-functional teams. Success in this position depends on deep technical leadership, strong problem-solving skills, and the ability to guide teams through ambiguity.

You will also mentor engineers, elevate engineering standards, and help build long-term capability within the planning technology organization.

Required Qualifications

  • 10+ years of experience in architecture, design, and development across IBP domains
  • Proven expertise in O9 Assortment, Demand or Supply (mandatory). Exposure and hands on working on other planning application like SAP IBP, Kinaxis etc is plus
  • Strong understanding of planning algorithms, forecasting models, solvers, and data domains
  • Understanding of ML based forecasting models and implementing workflows for best models.
  • Exposure to solvers like Gurobi or other open source packages for meeting custom requirements.
  • Experience in working on AI based development environment like cursor, co-pilot or Nova
  • Hands-on experience with PL/SQL, data analysis, and scalable cloud-based engineering.
  • Engineering fundamentals: Java/Python, databases, Git/SVN
  • Experience with DevOps/CI-CD (Jenkins preferred)
  • Strong Agile/Scrum experience and excellent communication skills
  • Lead a team of at least 3-4 people and passion for mentoring and developing engineering capability.

WHAT YOU’LL WORK ON

You will work across problems in depth and which span across modules like MFP ( Merchandise Financial Planning ), Assortment Planning, Demand and Supply planning / integrations. Enhance and support multi-tenant, multi Geo, highly integrated solution with impacts across downstream supply chain. Some of the activities that you will be involved in but not limited to -

  • Build and enhance MFP, assortment planning capabilities and integrate outputs with downstream planning modules.
  • Design and optimize forecasting models in O9, enabling statistical, ML-based, and causal forecasting
  • Supply planning solutions including constraint-based planning, capacity logic, and ERP integrations.
  • Implement inventory optimization including safety stock modeling, segmentation strategies, and MEIO planning.
  • Build deployment, allocation, and replenishment logic across multi-node distribution networks.

Cross-Functional Engineering Responsibilities include:

  • Lead design → build → test → deploy cycles
  • Develop scalable cloud solutions and review code for performance
  • Drive O9-enterprise integrations and data flows
  • Champion DevOps, automation, and CI/CD
  • Support backlog refinement, Agile delivery, and engineer mentoring
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