AI Product Director, UPS Digital – Cognitive Logistics Solutions

About this role

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Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.

Job Description: Role Overview

The AI Product Director is a senior leadership role responsible for defining, building, and scaling UPS Digital’s portfolio of AI-driven logistics solutions and the platform that powers them — a connected suite of supply chain visibility, integration, and agentic capabilities that help customers simplify complex supply chain decisions, optimize their logistics, integrate more easily with UPS, and unlock greater value from UPS data, services, and digital platforms.

This leader will own a portfolio at the intersection of applied AI, logistics technology, platform products, SaaS, APIs, and customer-facing digital experiences. The role requires strong technical acumen and the ability to work deeply with engineering, data science, machine learning, architecture, UX, and business partners to turn complex logistics, integration, and customer workflow problems into scalable, intelligent product experiences.

The Product Director will be expected to bring strong Product Operating Model experience, including clear product accountability, outcome-based roadmaps, empowered cross-functional teams, continuous discovery, disciplined prioritization, experimentation, and rapid iteration. This leader should be equally comfortable operating in 0→1 new product development and in scaling established platforms — moving from customer problem validation and MVP definition to product-market fit testing, commercialization, adoption, and measurable business impact.

A core part of the role is identifying where AI — including predictive insight, automation, decision support, and generative and agentic capabilities — can create differentiated customer value. This includes evolving the portfolio’s supply chain visibility products beyond dashboards into intelligent recommendations, autonomous exception handling, and agent-assisted decisioning; expanding API and integration capabilities so customers and partners can connect to UPS with less friction; and incubating new AI-native solutions that reduce complexity and improve speed, confidence, and control across the shipping and supply chain experience.

The ideal candidate is a hands-on product leader who has shipped AI/ML or generative-AI products in production and understands what it takes to make them reliable, safe, and valuable — including grounding models in proprietary data, designing human-in-the-loop workflows, building evaluation and monitoring practices, and managing the realities of model performance, cost, latency, and customer trust. They should have a track record of launching products in ambiguous environments, designing experiments to test customer demand, using evidence to make investment decisions, and iterating quickly based on customer feedback, usage data, technical feasibility, and commercial potential.

This is also a people leadership role. The Director will manage and develop Product Managers, lead cross-functional product pods, and create a culture grounded in customer discovery, experimentation, technical and AI depth, commercial discipline, and accountability for outcomes.

Key Responsibilities Portfolio Strategy and Product Leadership • Define and lead the product strategy for the Cognitive Logistics portfolio, spanning supply chain visibility, integration and API products, and new AI-enabled digital solutions. • Establish a clear portfolio vision that connects customer needs, UPS strategic priorities, market opportunity, technical feasibility, and measurable business outcomes. • Balance investment across established platforms, growth-stage products, and 0→1 new solution development. • Translate customer insights, market signals, product performance, and internal business needs into a prioritized, outcome-based roadmap. • Represent the portfolio in executive discussions, customer conversations, roadmap reviews, and strategic planning forums.

AI, Data, and Intelligent Product Development • Set the portfolio’s applied-AI strategy — identifying where predictive analytics, automation, recommendations, generative AI, and agentic (autonomous, tool-using) capabilities create the most customer and business value. • Partner with data science, ML, engineering, architecture, and UX teams to define AI-enabled products that solve real customer workflow, visibility, and decisioning problems. • Evolve visibility and reporting products into intelligent solutions that anticipate risk, recommend actions, orchestrate exception handling, and — where appropriate — act autonomously with the right human-in-the-loop controls. • Champion a proprietary-data advantage: work with data and engineering teams to turn UPS’s unique logistics data into durable model and product differentiation (e.g., grounding, retrieval, and fine-tuning strategies). • Establish the disciplines that make AI products trustworthy in production — evaluation frameworks, offline and online testing, performance and drift monitoring, guardrails, and clear ownership of model quality and outcomes. • Embed responsible-AI practices into the product lifecycle, including fairness, transparency, data privacy and sovereignty, security, and appropriate governance and risk controls. • Make pragmatic build-vs.-buy and model-selection decisions, favoring a model-agnostic architecture that manages cost, latency, accuracy, and vendor risk. • Stay current on the fast-moving AI landscape and translate emerging capabilities

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