Partner Success Engineering Manager, Enterprise Technology Services

Enterprise Technology Services (ETS) is part of ISu0026T and delivers global-scale platforms and services that keep Apples operations secure and running. The team manages identity device security and anti-abuse platforms covering everything from manufacturing and repairs to software updates and activations. ETS also oversees supply chain manufacturing and partner integration platforms protecting data on more than 2.5 billion devices worldwide. When Apple prepares for a global product launch ETS owns the systems that ramp factory productionmanaging serial numbers network credentials and verified you an Engineering Manager with a passion for driving business impact through data who excels at turning partner relationships into high-value analytics solutions Do you thrive on understanding business challenges shaping strategic roadmaps and connecting diverse teams to the right data capabilities Do you want to lead an energetic team critical to Apples success ETS-Insight is looking for a Partner Success Engineering Manager who can lead and inspire a high-performing team of engineers build strong trust with partner leadership and translate complex data capabilities into tangible business outcomes in a dynamic high-energy environment. Your rock-solid integrity leadership critical thinking and ability to quantify business value are core competencies here. Your strategic vision to guide partners empower engineers and align technical solutions with real business problems is a key quality that makes our team successful and fun!

The ETS-Insight Analytics Engineering team serves Apples global manufacturing and operations analytics needs providing enterprise-scale data platforms and analytics capabilities that process petabytes of data daily. As the Partner Success Engineering Manager you will lead a partner-facing engineering team that serves as the strategic bridge between our data platforms and key business organizationsfrom Hardware Engineering to Operations and this role you will focus on understanding partner workflows shaping their short- and long-term analytics vision and ensuring our technical engagements directly drive measurable business value operational efficiency and smarter decisions.

Lead coach and grow a team of Partner Success / Solutions Engineers fostering a consultative customer-centric culture focused on delivering high-ROI business closely with leaders across various Lines of Business (LOBs) to understand operational challenges shape their analytics needs and prioritize initiatives based on measurable business closely with Product Management and diverse Insight teams (Platform Data Engineering DevOps) to align priorities drive partner roadmaps and co-design cohesive end-to-end high-level solution architecture and alignment ensuring partner initiatives adopt robust data models platform standards and best practices over one-off partner adoption self-service enablement and clear delivery milestones establishing success metrics and executive communication that showcase delivered business value.

Bachelors or Masters degree in a relevant field (Business Information Systems Engineering Computer Science Analytics or equivalent experience).n4 years of experience leading managing or building engineering technical solutions or technical partner/customer success teams.n8 years of overall experience working across data analytics business intelligence technical product management or solutions consulting technical fluency and conceptual understanding of modern data ecosystems cloud platforms (AWS or GCP) data warehousing and big data architectures (e.g. Spark Trino BigQuery Iceberg).nProven track record of working with business stakeholders to define requirements quantify business impact (ROI) and deliver data-driven solutions.

Background in Partner Success Management Technical Account Management Solutions Architecture leadership or Data Product executive communication stakeholder management and cross-functional leadership working with manufacturing supply chain hardware engineering or operations organizations where analytics directly influences business to bring simple logical and business-focused approaches to complex multi-stakeholder experience establishing engagement models partner onboarding playbooks and self-service analytics frameworks.