Overview

The Vice President of IT Engineering is a senior technology executive responsible for leading and cascading the design, development, deployment, and maintenance of enterprise-wide IT engineering strategy, execution, and innovation across the organization. This role oversees engineering teams that build and maintain critical applications, infrastructure, and integrations to support business operations, scalability, and innovation. The VP will partner with the CTO, product leaders, and business sponsors to champion and ensure IT engineering initiatives align with strategic priorities, operational efficiency, and security standards.

Overview of Responsibilities

Recommends approach to IT engineering strategy, architecture, and execution across enterprise systems, infrastructure, and applications in alignment with the major product portfolio roadmaps and the IT enterprise strategy in partnership with CTO.Drives modernization engineering practices, including cloud first adoption, AI & automation-driven, across the organization.Ensure high availability, performance, and security of IT systems that power critical business operations through establishing robust enterprise architecture and engineering design priniciplesOversee all technical design, development, and deployment of enterprise applications, integration, platform development, and support.Establish and lead the technical services supporting an AI Center of Enablement—encompassing enterprise‑wide AI governance, risk management, model lifecycle standards, and responsible‑use frameworks—to ensure scalable, secure, and strategically aligned AI capabilities that advance the company’s business objectives.Lead, influence, and own the engineering delivery capabilities for an assigned portfolio of systems (e.g., Retail, Merch & Supply Chain, MarTech, etc.) covering custom application development, data design, and integration services.Partner closely with peer portfolio and platform engineering and shared infrastructure and operation teams at each stage of the project lifecycle starting with the upfront planning and design phases through the transition to support.Responsible for creating a high-performing workforce through recruiting, developing, and retaining top engineering talent; fostering a culture of innovation, ownership, and accountability to accomplish business results.Possess the ability to design and lead fully automated CI/CD pipelines—integrating tools, orchestrating workflows, and enforcing engineering best practices—to ensure rapid, reliable, and scalable software delivery.Provide coaching and leadership development opportunities to strengthen future talent pipelines.Provide strategic leadership in defining, institutionalizing, and advancing Artificial Intelligence Engineering best practices, including the establishment of an AI Center of Enablement supported by rigorous technical governance and coordinated risk management in partnership with IT SecOps, Risk, and Legal.Develop KPIs and performance metrics to measure engineering efficiency, quality, and value delivery.Leverage AI methodologies and tools to modernize and optimize engineering operations and the software development lifecycle (SDLC), driving greater efficiency, increased capacity, enhanced delivery performance, and improved product quality.Define, lead, build and oversee the enterprise-wide Quality Engineering function to ensure consistent standards, practices, automation, and outcomes.Assume comprehensive responsibility for building, leading, and supporting all engineering teams and external partners required across the full product portfolio, including Retail Stores, Marketing Technology, Merchandising, Supply Chain and Corporate Support Systems.Collaborate closely with IT peers to shape and govern the technology roadmap, proactively manage technical debt, and ensure that platforms, processes, and infrastructure scale appropriately to anticipate organizational growth and capability requirements.Ensure strict compliance with cybersecurity, data privacy, and regulatory requirements while advocating for these practices to be incorporated into the upfront requirements and design.Maintain governance standards for architecture, development, and operations.
Qualifications

Strategic and analytical leader with a proven ability to align technology initiatives to business goals and measurable outcomes within a multi-year planning horizon.Demonstrate a minimum of 20 years of engineering experience, including more than +5 years in senior engineering leadership roles.Proven history and firsthand experience leading enterprise-scale engineering initiatives in complex enterprise environments.Extensive expertise in cloud platforms (Azure), DevOps, automation, enterprise architecture, offshore and managed services.Strong understanding of agile methodologies, software development lifecycle (SDLC), and IT service management.Ability to thrive in fast-paced, dynamic environments while maintaining focus on strategic priorities and delivery excellence.Strong logical reasoning, analytical thinking, and data-driven decision-making capabilities.Highly motivated, proactive initiative-taker with the ability to independently initiate, execute, and complete complex initiatives.Excellent leadership, communication, and collaboration skills, with the ability to effectively engage and align diverse, cross-functional teams.Demonstrated sense of urgency, accountability, and commitment to delivering high-quality outcomes.Proven experience managing, mentoring, and developing leaders and teams, while constructively challenging and influencing stakeholders through clear direction and continuous feedback.Strong history of integrating and coordinating multiple internal teams and external partners, including technology vendors and consulting organizations.Exceptional communication, persuasion, and facilitation skills, with the ability to translate complex data into compelling narratives, visualizations, and actionable business insights.Innovative problem solver who applies critical thinking to proactively address complex challenges across data and technology domains.Consultative and collaborative approach to relationship building, with the ability to influence and drive results within large, complex organizations.Advanced business knowledge managing functional teams and concurrent initiatives, including complex portfolios of data, projects, budgets, and schedules, through successful