Data Science & Analytics Manager

APM Terminals Step into the engine room of global commerce. At APM Terminals Elizabeth, you’ll be at the center of one of the busiest port complexes in North America. Every container you touch keeps freight moving through the Port of New York / New Jersey, supporting critical supply chains across the East Coast and beyond. This is a place where speed, scale, and precision come together. You’ll collaborate with high- performing teams in a fast-paced, high-volume environment where safety and operational excellence are the top priorities. Here, your impact is immediate—and global. Why you’ll love it here Be part of a major gateway on the U.S. East Coast Experience high-volume, complex terminal operations Work with driven teams in a fast-moving environment Continuous improvement mindset – where curiosity is encouraged, root-cause problem solving is valued, and making things better every day is part of how we win Data Science and Analytics Manager Based at APM Terminals Elizabeth, the Data Science and Analytics Manager will shape and lead the terminal’s analytics capability, turning complex operational data into decisions that improve safety, service, productivity, capacity, and cost performance. This role offers end-to-end ownership of the analytics roadmap, from identifying high-value opportunities through developing, deploying, and scaling solutions used in live terminal operations. What We Can Offer At APM Terminals, we foster a dynamic learning and training culture that empowers our employees to excel. Our commitment to improvement means every team member has the opportunity to develop their skills and advance their careers by continuously refining how we work. Experience a diverse, multinational workplace where your operational insights directly influence how we work. Lead and define a high-impact analytics agenda that directly supports terminal performance and modernization initiatives. Work with rich operational data and influence daily decisions across vessel, yard, gate, rail, labor, equipment, and asset management activities. Gain exposure to operational and senior leadership teams while collaborating with regional and global analytics communities. Build and develop an emerging analytics capability while helping drive technology and operational transformation. Key Responsibilities Define and execute the terminal’s data science and analytics strategy, roadmap, operating model, and prioritized portfolio aligned with business priorities. Partner with operational and functional leaders to identify high-value business problems, establish baselines, and deliver measurable outcomes. Develop predictive, prescriptive, and optimization solutions across operational use cases including productivity, capacity, forecasting, reliability, and planning. Lead analytics products through the full lifecycle from problem definition and data preparation to deployment, monitoring, and continuous improvement. Establish trusted KPI frameworks, reporting solutions, reusable data products, and self-service analytics capabilities. Translate complex analytical findings into actionable recommendations, scenarios, and decision-support tools for operational and senior leaders. Promote data quality, governance, responsible AI practices, and alignment with enterprise technology standards while building analytics capability across the organization. What We Are Looking For Continuous improvement mindset: we are looking for someone who brings a thoughtful improvement mindset—curious about how work gets done and motivated to make meaningful, sustainable improvements over time. Leadership expectation: We are looking for people who consistently put customers first, lead by example with respect for people, deliver results with integrity, and drive continuous improvement by solving problems at the root, developing people, and raising standards every day. Master’s degree in data science, computer science, stati…

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