Vice President, Software - Development and Project Execution

Overview

Vice President, Software - Development and Project Execution leads the strategic direction, development, and execution of cloud-native software products, including Warehouse Control System (WCS) and Warehouse Execution System (WES), leveraging advanced AI/ML capabilities. This role oversees Software Development and Project Execution teams to deliver innovative, intuitive, highly reliable solutions that provide customers with real-time insights and predictive analytics. This role is critical to integrating software with Automated Equipment and other IT Systems to enable real-time decision-making, intelligent equipment control, and optimized, adaptive warehouse workflows driven by AI.

• Strategic Leadership:
  Help define the long-term strategy, roadmap, and lifecycle for the company’s software aligned with company goals. Lead and mentor software engineers/developers focused on real-time control, automation logic, quality assurance, and operational decision engines. Collaborate with mechanical, electrical, and controls engineering teams to ensure seamless system integration.
• Technology Development & Innovation:
  Understand and own software design, modular architecture, and service layering, ensuring proper functionality placement and integration while balancing business and technical trade-offs. Continually evaluate the technology stack and recommend changes as needed to deliver a highly reliable product. Develop high-performance (sub-second response times) software that integrates PLCs, robotics, sorters, AS/RS, mobile devices, and other material handling equipment (MHE) and related IT and SCADA systems.
  
  Implement intelligent algorithms for dynamic order release, load balancing, workforce management, and exception resolution. Architect systems for remote diagnosability and supportability. Where possible, build configurable software systems that allow users to customize and build applications or workflows through graphical user interfaces (GUIs).
• Team Management & Culture:
  Build and lead a high-performing team of Architects, Project Managers, Data, Dev Ops, and QA Engineers, Front and Backend developers, Implementers and other needed resources. Establish and enforce a process framework and a process adherence culture to deliver quality software on time and on budget, including automated unit and regression testing, emulation, and performance testing. Provide accurate estimates for internal and customer projects, incorporating cost-reduction strategies such as responsible AI code generation, MLOps automation, and leveraging global talent pools.
  
  Foster a culture of continuous learning, responsible AI development, and data-driven decision-making. Collaborate with HR and Talent teams to attract and retain top technical talent.
• Cross-Functional Collaboration:
  
  Partner with Product Management to align technical capabilities with customer needs and product offerings. Collaborate with Project Operations on deployment efficiency, standardization, and system commissioning. Interface with Sales, Marketing, and Customer Success to support pre-sales, customer demonstrations, and after-market solutions.
• Project Oversight & Governance:
  Monitor and manage software project life cycles—from requirements gathering to deployment and support. Work closely with customers, vendors, and internal teams to deliver customized software solutions on time and within budget. Define software and controls development processes and standards, including quality assurance, model validation, remediation, version control, and change management. Track and report on KPIs for development velocity, system uptime, model accuracy and customer adoption.
  
  Manage budgets, vendor partnerships, and intellectual property related to software and controls innovation.
• Quality Assurance & Compliance:
  Implement rigorous feature and performance testing, validation, and documentation practices. Ensure software adheres to industry standards, cybersecurity best practices, and regulatory compliance.
• Continuous Improvement:
  Identify areas for intelligent process automation and optimization within material handling workflows,…