채용
Required Skills
O9 Integrated Business Planning
PL/SQL
Java
Python
Data Analysis
Planning Algorithms
Forecasting Models
Git
SVN
DevOps
CI/CD
Jenkins
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 high‑potential Lead Engineer / Solution Architect with strong experience across the IBP lifecycle and hands‑on implementation expertise on the O9 platform. The ideal candidate brings deep technical leadership, architecture capability, and the ability to mentor engineering teams.
Required Qualifications
-
7 to 10 years of experience in architecture, design, and development across IBP domains
-
Proven expertise in O9 Integrated Business Planning (mandatory)
-
Strong understanding of planning algorithms, forecasting models, solvers, and data domains
-
Hands-on experience with PL/SQL, data analysis, and scalable cloud-based engineering
-
Strong domain knowledge across: Assortment, Demand, Supply, Inventory, Deployment
-
Engineering fundamentals: Java/Python, databases, Git/SVN
-
Experience with DevOps/CI-CD (Jenkins preferred)
-
Strong Agile/Scrum experience and excellent communication skills
-
Passion for mentoring and developing engineering capability
WHAT YOU’LL WORK ON
Integrated Business Planning Lifecycle
Assortment Planning:
- Build and enhance assortment planning capabilities and integrate outputs with downstream planning modules.
Demand Planning:
- Design and optimize forecasting models in O9, enabling statistical, ML-based, and causal forecasting
Supply Planning:
- Architect supply planning solutions including constraint-based planning, capacity logic, and ERP integrations.
Inventory Planning:
- Implement inventory optimization including safety stock modeling, segmentation strategies, and MEIO planning.
Deployment Planning:
- Build deployment, allocation, and replenishment logic across multi-node distribution networks.
Cross-Functional Engineering Responsibilities:
-
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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About Nike
Reviews
3.7
10 reviews
Work Life Balance
3.5
Compensation
3.8
Culture
3.4
Career
3.6
Management
2.8
65%
Recommend to a Friend
Pros
Great coworkers and team environment
Good benefits and competitive compensation
Fun and energetic work environment
Cons
Poor management and leadership issues
Workplace politics and competitive environment
Inconsistent company direction and frequent changes
Salary Ranges
34 data points
Mid/L4
Senior/L5
Mid/L4 · Data Analyst
2 reports
$134,195
total / year
Base
$116,500
Stock
-
Bonus
-
$131,895
$136,359
Interview Experience
4 interviews
Difficulty
2.8
/ 5
Duration
14-28 weeks
Offer Rate
25%
Experience
Positive 25%
Neutral 50%
Negative 25%
Interview Process
1
Phone Screen
2
HireVue Video Interview
3
Final Round
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