Senior Manager Program Management

Senior Technical Program Manager, AI & Digital Commerce Platform

We are seeking an experienced technical program leader to oversee the development, deployment, and ongoing evolution of brand enterprise AI platform and its portfolio of AI-powered commerce solutions. This role sits at the intersection of AI engineering, digital commerce operations, governance, and customer experience, ensuring that AI initiatives move efficiently from early experimentation into reliable, production-ready applications across our ecommerce, merchandising, marketing, and omnichannel retail environments.

The ideal candidate combines strong program management expertise with a practical understanding of AI systems, agile delivery, and the pace of a high-volume retail business. They will coordinate cross-functional teams, establish consistent delivery processes, manage technical dependencies, and implement governance frameworks that support the secure, scalable, and responsible adoption of AI across the organization, without disrupting peak trading periods.

Key Responsibilities

• Program Delivery and Roadmap Management: Lead planning, prioritization, and execution across multiple engineering teams responsible for AI infrastructure, agent orchestration, developer tooling, identity management, monitoring, and integrations with ecommerce, order management, product information management (PIM), CRM, and loyalty systems.
• Cross-Functional Coordination: Manage dependencies across engineering, security, infrastructure, architecture, product, merchandising, marketing, and customer care teams. Maintain delivery timelines and establish predictable release cycles that account for seasonal calendars, promotional events, and holiday code freezes.
• AI Use Case Prioritization: Establish an intake and assessment process for proposed AI initiatives such as personalized product recommendations, conversational shopping assistants, AI-generated product content, visual and semantic search, demand forecasting, and customer service automation. Evaluate conversion and revenue impact, data availability, technical feasibility, and brand and customer risk before translating approved opportunities into delivery plans.
• AI Production Readiness: Define and manage the processes required to move AI solutions from prototype to production, including performance evaluation, load testing for peak traffic, security and adversarial testing, access controls, monitoring, and rollback procedures. Ensure customer-facing AI experiences are accurate, on-brand, and safe.
• Governance and Risk Management: Establish delivery standards, approval checkpoints, human-in-the-loop requirements, and audit documentation to support reliable, transparent, and compliant AI implementations. This includes protecting customer data and privacy (e.g., GDPR, CCPA), PCI considerations, brand and trademark safeguards, and accuracy of product, pricing, and promotional claims.
• Stakeholder Management: Serve as a central point of coordination for business sponsors (ecommerce, merchandising, marketing, retail operations), technical leadership, security stakeholders, and platform users, translating business objectives and technical constraints into clear priorities and decisions.
• Agile Delivery Leadership: Facilitate planning sessions, manage backlogs, track milestones, resolve delivery blockers, and coordinate release activities across multiple teams and workstreams, including agency and vendor partners.
• Platform Adoption: Partner with product and engineering teams to drive adoption of shared AI capabilities across web, mobile app, marketplace, wholesale, and in-store channels. Identify implementation challenges and improve the overall developer, merchandiser, and shopper experience.
• Performance Measurement: Develop reporting frameworks to track platform adoption, AI evaluation outcomes, production incidents, defect rates, delivery cycle times, and operational costs, alongside commerce KPIs such as conversion rate, average order value, return rate, search-to-purchase rate, and customer care deflection.
• Continuous Improvement: Identify opportunities to streamline delivery processes, improve team productivity, and incorporate AI-assisted workflows into program management, content operations, and software delivery.

Required Qualifications

• 8+ years of experience in program management, technical delivery, product management, or a related discipline, including leadership of complex, cross-functional technology initiatives.
• Demonstrated experience managing large-scale technical programs across multiple teams in an enterprise retail, ecommerce, or consumer brand environment.
• Strong understanding of Agile and scaled delivery methodologies, including planning cycles, backlog management, cross-team dependencies, and coordinated releases.
• Working knowledge of AI and large language model applications, including AI agents, retrieval-augmented generation (RAG), tool integrations, orchestration, and model evaluation, with an understanding of how these apply to shopping, search, content, and service experiences.
• Understanding of the technical and operational considerations involved in moving AI applications from experimentation into production in a high-traffic, customer-facing environment.
• Familiarity with AI quality assurance practices, including evaluation datasets, performance testing, security assessments, and safeguards against prompt injection, hallucinated product or pricing information, and other adversarial inputs.
• Technical proficiency sufficient to independently validate program outcomes, including SQL skills and the ability to interpret application logs, telemetry, web analytics, and evaluation results.
• Experience using generative AI tools to improve productivity, automate documentation, develop requirements, analyze delivery information, or support team workflows.
• Familiarity with Microsoft Azure and enterprise technology controls, including identity and access management, network security, secrets management, and change management processes.
• Excellent communication, organizational, problem-solving, and stakeholder management skills.

Preferred Qualifications

• Experience with ecommerce and retail technology platforms such as Salesforce Commerce Cloud, Shopify Plus, Adobe Commerce, commerce search and personalization engines, PIM, OMS, or customer data platforms (CDP).
• Experience working with Azure-based AI development and deployment platforms, including Azure AI Foundry or comparable enterprise AI tooling.
• Familiarity with Microsoft Fabric or similar enterprise data and analytics platforms.
• Experience establishing AI evaluation frameworks, maintaining benchmark datasets, coordinating red-team exercises, or incorporating responsible AI reviews into release processes.
• Experience partnering with platform engineering or operations teams on service-level objectives (SLOs), incident response, production monitoring, and operational readiness, including peak-season readiness (Black Friday/Cyber Monday, holiday, major launches).
• Background delivering digital programs in retail, fashion, luxury, accessories, or direct-to-consumer brands.
• Understanding of enterprise audit requirements, data governance, consumer privacy regulation, security reviews, and compliance documentation.
• Experience implementing AI-assisted software development or delivery practices across engineering teams.