Strategic Foresight and Trend Intelligence

Apple • Cupertino, CA

1d

About The Position

Help shape how Apple thinks about the future. As the Program Manager, Strategic Foresight and Trend Intelligence, for Apple Store Online, you will translate emerging signals across technology, consumer behavior, and commerce into strategies that influence the most consequential decisions in Apple's largest store. You won't just observe change; you will help Apple anticipate it. If you thrive in ambiguity and have a gift for making the future feel actionable, this role was built for you. In this role, you will lead strategic foresight and trend intelligence across e-commerce, digital commerce, and customer care, translating early signals into long-range strategies that shape executive decision-making. You will synthesize internal and external data to surface actionable insights from structured and varied customer scenarios, and interpret contact data to identify emerging trends, needs, and opportunities across Apple customer care. Working cross-functionally with Data Scientists, Machine Learning Engineers, and Product Managers, you will translate those insights into scalable solutions that empower specialists to focus on high-value, human-centered interactions. This role demands fluidity, moving seamlessly between deep data analysis, stakeholder communication, and solution design as priorities evolve.

Requirements

• Bachelor's degree or equivalent experience.
• 10+ years of experience in strategic planning, market intelligence, digital commerce, customer experience, or a related field.
• Background in detecting signals and emerging patterns across technology, consumer behavior, and market shifts to distinguish fleeting noise from durable strategic forces before they reach mainstream adoption.
• Engagement with the evolving e-commerce landscape, including next generation shopping experiences, payment ecosystems, AI-driven personalization, and the convergence of physical and digital Retail.
• Analysis of transformational shifts in customer service and experience, including conversational AI, autonomous support, hyper-personalization, and changing expectations across generational cohorts.
• Application of structured foresight frameworks including scenario planning, horizon scanning, and futures mapping to translate ambiguous trend data into actionable long-range business strategies.
• Preparation of executive briefings and board-level recommendations that distill complex, long-horizon thinking to directly influence business planning cycles.
• Evaluation of the startup ecosystem, academic research, regulatory environments, and emerging technology vendors to surface early signals that could reshape competitive dynamics in e-commerce and customer care.
• Ability to scan adjacent industries such as fintech, health tech, logistics, and social platforms for transferable disruptions and synthesize insights into coherent narratives that challenge conventional assumptions.
• Experience working within or advising large-scale retail, technology, or platform companies navigating significant market disruption.
• Familiarity with AI and machine learning applications as they relate to commerce, personalization, and customer engagement.
• Exposure to venture capital, accelerator, or innovation scouting environments with a developed network across the emerging technology ecosystem.
• Ability to navigate ambiguity and adapt quickly to shifting priorities in a fast-paced environment.
• Experience leading, mentoring, and developing high-performing teams to achieve strategic business goals.

Responsibilities

• Lead strategic foresight and trend intelligence across e-commerce, digital commerce, and customer care, translating early signals into long-range business strategies that influence executive decision-making.
• Synthesize internal and external data across structured and varied customer scenarios to uncover actionable insights.
• Interpret customer contact data to identify trends, needs, and opportunities within Apple customer care.
• Partner cross-functionally with Data Scientists, Machine Learning Engineers, and Product Managers to translate insights into solutions.
• Contribute to the design of scalable solutions that enable specialists to focus on high-value, human-centered customer interactions.
• Shift fluidly across data analysis, stakeholder communication, and solution design, adapting as priorities evolve.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior