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Engineer IV

Job in New York, New York County, New York, 10261, USA
Listing for: Ross Stores, Inc.
Full Time position
Listed on 2026-07-18
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 161300 - 275200 USD Yearly USD 161300.00 275200.00 YEAR
Job Description & How to Apply Below
Location: New York

Engineer IV, Merchandising Planning Delivery Lead

Ross is a leading off‑price retail chain with over 2,200 stores. We provide a fun treasure‑hunt experience while delivering high‑quality brands at extraordinary savings.

Our Values
  • Success – pursuing excellence while learning and evolving
  • Career growth – develop industry‑leading talent
  • Teamwork – solve hard problems together
  • Diversity, Equality & Inclusion – celebrate backgrounds and ideas
General Purpose

The Engineer IV, Merchandising Planning Delivery Lead leads the strategy, modernization, and delivery of Ross’s merchandising planning technology solutions. This highly technical, individual‑contributor role drives architecture, roadmap, and platform evolution, partnering with business and IT stakeholders to deliver value, evaluate emerging technologies, and provide technical leadership across implementation, optimization, and operational support initiatives.

Base salary range: $161,300 – $275,200. Total compensation includes other rewards and benefits.

Essential Functions
  • Lead strategy, roadmap, design, implementation, and ongoing evolution of merchandising planning technology solutions
  • Evaluate emerging technologies, industry trends, and vendor offerings to improve planning capabilities and deliver business value
  • Provide technical leadership for platform modernization, application enhancements, integrations, analytics, and automation initiatives
  • Partner with business stakeholders to understand requirements, identify opportunities, and develop scalable solutions that support planning and forecasting processes
  • Establish and maintain engineering standards, development best practices, governance processes, and solution architectures
  • Lead solution design, implementation, testing, deployment, and operational support activities across planning technology platforms
  • Collaborate with Architecture, Engineering, Data, Infrastructure, and Security teams to ensure alignment with enterprise standards and strategies
  • Drive adoption of advanced analytics, automation, AI, and emerging technologies to improve planning effectiveness and operational efficiency
  • Conduct technology assessments, capacity planning, and performance reviews to support current and future business needs
  • Serve as a subject‑matter expert and Level 3 escalation point for critical production issues and platform support activities
  • Mentor engineers and provide technical leadership to support team growth and development
Qualifications and Special Skills Education & Experience
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or related discipline
  • 15+ years of overall IT experience, including at least 7 years as an engineer
  • Experience leading large‑scale technology implementations, modernization initiatives, or digital transformation programs
  • Experience with SaaS‑based enterprise planning platforms, cloud‑based applications, and integrated technology ecosystems
Technical Skills
  • Strong knowledge of merchandising planning, forecasting, analytics, and retail technology platforms
  • Experience with cloud technologies, data integration, APIs, enterprise application architecture, and modern software delivery practices
  • Understanding of analytics, automation, artificial intelligence, and emerging technology capabilities
  • Experience evaluating, implementing, and supporting enterprise software solutions
  • Strong knowledge of application lifecycle management, system integration, governance, and operational support
Functional / Domain Skills
  • Strong understanding of retail merchandising planning processes and supporting technologies, including forecasting, financial planning, assortment planning, inventory planning, allocation, replenishment, and related disciplines
  • Knowledge of merchandising systems, product hierarchies, master data management, and enterprise retail platforms is highly desirable
  • Understanding of key retail planning and inventory performance metrics used to support business decision‑making
Analytics & Data Science Skills
  • Experience leveraging analytics, statistical methods, forecasting techniques, and data‑driven decision‑making processes to support retail planning and merchandising functions
  • Familiarity with…
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