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职位Nike

Lead Software Engineer - IBP Solution , ITC

Nike

Lead Software Engineer - IBP Solution , ITC

Nike

Karnataka, India

·

On-site

·

Full-time

·

2d ago

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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关于Nike

Nike

Nike

Public

Nike, Inc. is an American athletic footwear and apparel corporation headquartered near Beaverton, Oregon. It is the world's largest supplier of athletic shoes and apparel and a major manufacturer of sports equipment, with revenue in excess of US$46 billion in its fiscal year 2022.

10,001+

员工数

Beaverton

总部位置

$200B

企业估值

评价

4.2

10条评价

工作生活平衡

4.3

薪酬

3.8

企业文化

4.1

职业发展

3.2

管理层

4.0

82%

推荐给朋友

优点

Flexible scheduling and work environment

Great learning opportunities

Positive and supportive culture

缺点

Limited career growth opportunities

Office politics

Challenging upward mobility

薪资范围

33个数据点

Mid/L4

Senior/L5

Mid/L4 · Data Analyst

2份报告

$134,195

年薪总额

基本工资

$116,500

股票

-

奖金

-

$131,895

$136,359

面试经验

4次面试

难度

3.3

/ 5

时长

14-28周

录用率

25%

体验

正面 0%

中性 75%

负面 25%

面试流程

1

Application Review

2

Recruiter Screen

3

Hiring Manager Interview

4

Technical Assessment

5

Final Interview

6

Offer

常见问题

Technical Knowledge

Behavioral/STAR

Past Experience

Culture Fit