Sr. Manager Merchandise Technology - Pricing and Operations

Foot Locker•New York, NY

6d•$140,000 - $180,000•Hybrid

About The Position

We are seeking a visionary and results-driven Sr. Manager to lead global merchandising technology with a focus on pricing and promotion platforms. This role is responsible for defining and delivering the technology strategy, advancing modern platform capabilities, and enabling business outcomes across pricing analytics, price execution, promotion management, and markdown optimization. This leader will drive modernization of legacy systems, operate within a product-based delivery model, and leverage data, analytics, and AI-driven solutions to improve decision-making and operational performance. The role operates within a complex global business model spanning multiple regions and markets and supports a distributed delivery organization, including significant offshore engineering and support teams. This position leads a global team of ~10–15 technology professionals and owns measurable business outcomes including inventory productivity, forecast accuracy, allocation efficiency, and platform performance.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, Business, or a related field
7+ years of experience in retail or merchandising technology leadership roles
Proven track record of delivering large-scale merchandising technology solutions
Hands-on experience implementing and configuring pricing and promotion systems (e.g., pricing, promotions, markdowns, or related domains)
Experience leading engineering teams across multiple disciplines (development, integration, QA)
Expertise with leading legacy and commercial merchandising platforms (e.g., Oracle, o9, SAS, Zebra, or similar)
Experience with both legacy/mainframe systems and modernization to cloud-native architectures
Strong understanding of data platforms, analytics, and AI/ML-driven retail solutions
Experience operating in global, multi-region retail environments
Hands-on experience with budgeting, prioritization, and resource planning
Experience managing vendors, SaaS platforms, and consulting partners
Excellent leadership, communication, and stakeholder management skills
Ability to operate effectively at both strategic and execution levels in a fast-paced environment
Experience leading globally distributed teams, including offshore development and support models
Proven ability to operate effectively across time zones, cultures, and regional business structures

Responsibilities

Define and execute a comprehensive technology roadmap aligned with business strategy
Identify, evaluate, and implement modern platforms supporting pricing, promotion, and related merchandising capabilities
Lead evaluation and selection of third-party platforms, including RFP processes and vendor assessments
Lead modernization of legacy platforms (including mainframe) into scalable, cloud-native architectures
Drive adoption of API-first, event-driven, and composable platform designs
Ensure solutions support global scalability while accommodating regional business models and regulatory requirements
Manage and optimize the technology budget to ensure cost-effective delivery
Define, track, and report on KPIs tied to business value and system performance
Identify and reduce technical debt to improve scalability and maintainability
Oversee delivery, support, and continuous improvement of core systems and capabilities, including: Pricing analytics and optimization, Price execution across channels, Promotion setup, execution, and analysis, Markdown and clearance optimization
Lead end-to-end implementation of packaged (SaaS / vendor) solutions, including solution design, configuration, integration, and deployment
Partner with business stakeholders to ensure systems are configured to support business processes and scalability
Ensure high levels of data accuracy, operational integrity, and consistency across enterprise platforms
Support legacy systems while driving a clear transition strategy to modern platforms
Ensure compliance with enterprise security, privacy, and data governance standards
Establish best-in-class engineering and solution architecture practices
Drive high standards for system reliability, performance, scalability, and maintainability
Guide architectural decisions across platforms, integrations, and third-party solutions
Define integration patterns and frameworks for connecting enterprise systems and data platforms
Champion DevOps and engineering best practices to improve speed, quality, and transparency
Lead and develop a globally distributed team of 10–15 across engineering, integration, and quality engineering
Operate within a product-based delivery model with clear ownership of capabilities and outcomes
Foster a high-performance culture focused on accountability, delivery excellence, and continuous improvement
Lead a distributed team across onshore and offshore resources, ensuring effective collaboration across time zones and regions
Establish and optimize global delivery models, including offshore and partner teams
Drive consistency in engineering standards, delivery practices, and governance across a global organization
Drive accountability for successful platform rollouts, adoption, and post-implementation optimization
Define vendor strategy including build vs. buy decisions and manage consulting and SaaS partners to maximize value
Oversee execution of multiple large-scale, cross-functional initiatives
Partner closely with merchandising, commercial, finance, operations, and data teams
Align technology initiatives with business priorities to deliver measurable outcomes
Lead cross-functional decision-making, managing risks, dependencies, and trade-offs
Facilitate alignment between business process design and system configuration during implementations
Navigate regional business requirements, balancing global standardization with local market needs
Drive organizational change management, including user adoption, training, and process transformation
Leverage advanced analytics, data platforms, and AI/ML models to improve decision-making and operational performance
Partner with data engineering and analytics teams to enable scalable, high-quality data solutions
Enable data-driven capabilities such as optimization, forecasting, and performance analysis
Drive innovation through adoption of emerging technologies and modern platform capabilities
Provide thought leadership across business and technology domains