Sr Manager, Retail Data Products
Apple
Cupertino, CA, USA
USD 208,400-365,400 / year + Equity
Posted on Apr 4, 2026
Imagine what you could do here! The people here at Apple don’t just create products — they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work. We’re a diverse collective of thinkers and doers, continuously reimagining our products and practices to help people do what they love in new ways. That innovation is inspired by a shared commitment to great work — and to each other. Because learning from the people here means we’re learning from the best. Retail Operations creates the tools and programs that empower our teams to provide, a one of a kind, only at Apple experience. We do this by obsessing over the employee and customer experience, and driving a global strategy that sets the bar. Apple's Retail Store Analytics team is looking for a visionary leader with a data science or engineering background, executive-level communications of our data product strategy, and passion to use data at scale to drive global retail excellence. As Senior Manager of Retail Data Products, you will play a critical role in leading the future direction of Apple Retail Operations by integrating data and machine learning to delight customers and empower store employees. A successful candidate will possess strong technical business intelligence and machine learning knowledge, experience building digital products, an understanding of retail store dynamics, and the ability to effectively communicate product roadmaps to diverse stakeholders.
Through a team of BI Engineers and Product Managers, you will lead data-driven culture across Apple Retail Operations. Your team will design, refine, and create innovative data products—including a centralized hub of canonical dashboards and AI-driven conversational data tools—that deliver dynamic and intuitive decision-support. You will coach, lead, and empower team members to build scalable solutions that empower others.
- Develop next-gen strategy and tech stack for dashboarding and conversational BI that enables data-based decision-making for non-technical users across the retail stores organization.
- Lead the deployment of high-impact AI/ML products which deliver multi-year improvements to customer experience programs, site selection, staffing & scheduling, and operational efficiency.
- Partner with data science, analytics engineering, and data infrastructure teams to deliver tools which integrate seamlessly into user workflows.
- Influence cross-functional business partners to design retail programs and technology that delight retail customers.
- Build capabilities of individuals and team culture through effective employee development, involvement, communication, and coaching.
- Bachelor’s degree in a relevant field (Engineering, Data Science, Business) or equivalent experience
- 10+ years of experience in Business Intelligence, Product Management, Machine Learning, or equivalent
- 2+ years of leading and mentoring data-focused teams
- 2+ years of creating, communicating, and delivering on roadmaps for technical products
- Proficiency in SQL and at least one dashboarding tool (eg Tableau, PowerBI, Looker)
- Clear translation of complex technical concepts into non-technical terms
- Master’s degree in a relevant field (Engineering, Data Science, Business) or equivalent experience
- 5+ years of leading data-focused teams, fostering inclusivity and diversity of thought
- 5+ years of working with retail data
- 2+ years of experience managing Machine Learning / AI tools in production
- Ability to connect insights to business outcomes and influence strategy
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.