PeopleLogic
Head of Engineering – Retail Practice
Location: Plano, TX and Chicago, IL Seniority Level: Mid–Senior Level Employment Type: Full-time Role Type: Individual-contributor + consulting thought leader Not eligible for Immigration Sponsorship at this time. Role Overview
We are looking for a visionary Head of Engineering – Retail Practice to spearhead our technology strategy and execution in the rapidly evolving retail landscape. This role combines deep engineering leadership with strong domain expertise to deliver transformative solutions across omnichannel commerce, digital stores, supply chain, customer experience, and data-driven retail. Responsibilities
Define and execute the technology vision for the Retail practice, aligned with business growth and client priorities. Anticipate industry trends (AI in retail, hyper-personalization, edge/IoT in stores, digital twins, metaverse retail, ESG in retail) and translate them into actionable engineering roadmaps. Collaborate with business leaders to shape offerings across omnichannel commerce, merchandising, supply chain, store operations, and customer engagement. Lead end-to-end engineering for retail platforms, products, and solutions — from architecture. Ensure adoption of modern engineering practices (cloud-native, microservices, DevSecOps, API-first, data/AI-first). Drive accelerators, reusable frameworks, and reference architectures to speed up solution delivery. Lead experimentation and incubation of new technologies such as generative AI, real-time personalization, computer vision, IoT-enabled smart stores, AR/VR shopping, and autonomous supply chains. Build strong partnerships with hyperscalers, retail tech ISVs, startups, and academia to bring innovation at scale. Build, grow, and mentor high-performing engineering teams across cloud, data, platforms, and applications. Foster a culture of agility, experimentation, and customer-first engineering. Drive collaboration between product managers, designers, data scientists, and business consultants. Client & Business Impact
Engage directly with retail CxOs and technology leaders to shape transformation programs. Translate client pain points into differentiated, engineering-led solutions. Influence pre-sales, solutioning, and go-to-market initiatives with strong technical credibility. Qualifications
15 to 20 years of engineering and technology leadership experience, with at least 5+ years in the retail domain. Strong understanding of Retail Domain Data Models and Data Domains for Data products. Expertise in retail technology ecosystems (Salesforce Commerce, SAP, Manhattan, Blue Yonder, Shopify, etc.) and modern data/AI platforms. Strong knowledge of customer data privacy, omnichannel architectures, and integration patterns. Excellent communication, executive presence, and ability to influence C-level stakeholders. Must Haves
Hands‑on Architecting Capability Consulting Experience (working from a IT service provider consulting as a thought leader for Global CIO's in the specific industry (Retail) Senior Leader Profile
Mid to senior level with a proven track record of leading engineering teams in fast‑moving retail environments and a deep understanding of AI/GenAI integration into retail technology stacks.
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Location: Plano, TX and Chicago, IL Seniority Level: Mid–Senior Level Employment Type: Full-time Role Type: Individual-contributor + consulting thought leader Not eligible for Immigration Sponsorship at this time. Role Overview
We are looking for a visionary Head of Engineering – Retail Practice to spearhead our technology strategy and execution in the rapidly evolving retail landscape. This role combines deep engineering leadership with strong domain expertise to deliver transformative solutions across omnichannel commerce, digital stores, supply chain, customer experience, and data-driven retail. Responsibilities
Define and execute the technology vision for the Retail practice, aligned with business growth and client priorities. Anticipate industry trends (AI in retail, hyper-personalization, edge/IoT in stores, digital twins, metaverse retail, ESG in retail) and translate them into actionable engineering roadmaps. Collaborate with business leaders to shape offerings across omnichannel commerce, merchandising, supply chain, store operations, and customer engagement. Lead end-to-end engineering for retail platforms, products, and solutions — from architecture. Ensure adoption of modern engineering practices (cloud-native, microservices, DevSecOps, API-first, data/AI-first). Drive accelerators, reusable frameworks, and reference architectures to speed up solution delivery. Lead experimentation and incubation of new technologies such as generative AI, real-time personalization, computer vision, IoT-enabled smart stores, AR/VR shopping, and autonomous supply chains. Build strong partnerships with hyperscalers, retail tech ISVs, startups, and academia to bring innovation at scale. Build, grow, and mentor high-performing engineering teams across cloud, data, platforms, and applications. Foster a culture of agility, experimentation, and customer-first engineering. Drive collaboration between product managers, designers, data scientists, and business consultants. Client & Business Impact
Engage directly with retail CxOs and technology leaders to shape transformation programs. Translate client pain points into differentiated, engineering-led solutions. Influence pre-sales, solutioning, and go-to-market initiatives with strong technical credibility. Qualifications
15 to 20 years of engineering and technology leadership experience, with at least 5+ years in the retail domain. Strong understanding of Retail Domain Data Models and Data Domains for Data products. Expertise in retail technology ecosystems (Salesforce Commerce, SAP, Manhattan, Blue Yonder, Shopify, etc.) and modern data/AI platforms. Strong knowledge of customer data privacy, omnichannel architectures, and integration patterns. Excellent communication, executive presence, and ability to influence C-level stakeholders. Must Haves
Hands‑on Architecting Capability Consulting Experience (working from a IT service provider consulting as a thought leader for Global CIO's in the specific industry (Retail) Senior Leader Profile
Mid to senior level with a proven track record of leading engineering teams in fast‑moving retail environments and a deep understanding of AI/GenAI integration into retail technology stacks.
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