Americas BPR-Engineering Project Manager

Apple is where extraordinary people do their best work. If making a real impact excites you a career here might be your dream just be prepared to dream growing supply chain complexity demands innovative approaches to automation and operational excellence. Youll join the Business Process Reengineering team to scale Apple Operations in the supply chain space. Youre passionate about understanding the big picture while diving into technical details adapting your communication style to bridge business perspectives engineering pipelines and supply chain optimization. You thrive exercising interpersonal organizational technical and analytical skills in a fast-paced environment. If this sounds like you wed love to talk.

An EPM in this role drives end-to-end delivery of complex cross-functional AI/ML and supply chain programs by owning technical solution roadmaps milestones and execution across engineering product and business teams to ensure on-time high-quality launches. They dive deep into technical designs data and system architecture infrastructure and Cloud based solutions alongside engineers and data scientists leveraging their knowledge of software engineering GenAI MLOps and agentic AI to unblock issues manage risks and make informed prioritization trade-offs. They align diverse stakeholders through clear communication data-driven decision-making and structured executive narratives continuously improving processes to increase velocity and translate technical complexity into measurable business impact.

Masters degree in Computer Science Engineering Analytics or equivalent technical field and 8 years of technical/engineering program management experience OR Bachelors in Computer Science Engineering Analytics or equivalent technical field with 10 years experiencenPrevious experience with software engineering GenAI Machine Learning AI and supply chain/operations domainsnDive deep into data technical designs and root-cause analysis to resolve complex challenges with high analytical rigornProficiency with data acquisition tools advanced SQL Python data visualization and analytics platformsnFamiliarity with agentic AI frameworks tool-use patterns (e.g. MCP servers function calling skills) and the ability to evaluate how autonomous agents and multi agent network can be applied to program and operational workflowsnKnowledge of large language models (LLMs) and prompt engineering techniques sufficient to partner effectively with software engineers and data scientists on GenAI-powered solutionsnUnderstanding of MLOps best practices including model deployment pipelines CI/CD for ML workflows model versioning and drift monitoring to support production AI/ML systemsnExperience managing feature roadmaps across interconnected systems with the ability to stitch together supply chain concepts (e.g. fulfillment logistics demand planning) into cohesive program strategiesnFamiliarity with software engineering best practices including testing frameworks code quality standards secure development practices system architecture strong understanding of APIs data architecture and system integration enabling effective partnership with software engineering teams on technical deliverables

Operate effectively in ambiguous environments demonstrating strong ownership bias for action sound judgment and a commitment to delivering results with experience working in Agile/Scrum environmentsnOwn end-to-end delivery of complex cross-functional technical programs from concept through launch and post-launch operational excellence ensuring alignment with long-term business and customer impactDefine program vision multi-quarter roadmaps clear milestones and measurable success criteria; drive execution across engineering product and business stakeholdersnPartner with engineering leaders to review and influence system architecture scalability reliability and long-term maintainability of solutionsnDrive prioritization decisions in partnership with AIML and engineering teams balancing customer impact cost resourcing timeline and technical risknHigh intellectual curiosity to learn and understand business needs with the ability to provide in-depth evaluations of complex engineering and analytic issuesnProactively identify cross-team dependencies risks and trade-offs; implement mitigation plans to ensure predictable high-quality deliverynEstablish mechanisms to monitor program health including business-critical metrics operational dashboards and recurring inspection reviewsnEarn trust and alignment across multiple teams by influencing without authority and facilitating clear data-driven decision-makingnContinuously improve development and operational processes by inventing and simplifying workflows to increase velocity and reduce defectsnCommunicate effectively with senior leadership through structured written narratives and executive-ready program updates that translate technical complexity into business impactnInquisitive mindset with a desire for continued self-improvement and development of new skillsnProven ability to work outside own area of expertise perform business discovery simplify and define the problem statement extract key information and propose potential analytic approachesnMeticulous attention to detail and data integrity when managing program metrics and deliverablesnDrives organizational success by orchestrating u0026 aligning X-functional teams toward shared goalsnTrack record of staying current with industry best practices and rapidly adopting emerging technologies and methodologies