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Software Engineering Manager (Data Solutions), Ai & Data Platforms
AppleShanghai, Shanghai, China8+ years
Apply People at Apple don’t just build products — they craft the kind of experience that has revolutionized entire industries. The diverse collection of our people and their ideas inspires innovation in everything we do. Imagine what you could do here! Join Apple, and help us leave the world better than we found it. Would you like to work in an energizing environment where your abilities will be challenged on a day-to-day basis? If you are passionate about innovating to deliver insights through large-scale data solutions, then the AI and Data Platforms (AiDP) Solutions Manager role is for you. Manage a team of committed Data Analytics professionals, applying a standout combination of intuition for business and technical abilities and knowledge.
As a key leader, you will define and drive the vision and strategy for the AiDP solutions. We are looking for a leader who is deeply passionate about leading a team that focuses on building and scaling Generative AI–powered capabilities while forging strong cross-functional partnerships. You will be responsible for understanding the business domain by engaging directly with key business and IT stakeholders to understand business strategies, platform integration, GenAi goals, and how that ties to solution needs.
You will be working closely with U.S. and India-based teams. The ideal candidate will be a self-motivated, hands-on, dynamic, and detail-oriented individual with a strong technical background and proven leadership experience. This position requires an individual to manage a team and work cross-functionally with other teams to coordinate the delivery of complex solutions.
We are looking for a hardworking and passionate person to join this amazing team. If you feel this is you, we'd love to hear from you.
- Define and drive the vision and strategy for the AiDP Solutions
- team.
- Lead a team that focuses on building and scaling Generative AI–powered capabilities while forging strong cross-functional partnerships.
- Understanding the business domain by engaging directly with key business and IT stakeholders to understand business strategies, platform integration, GenAi goals, and how that ties to solution needs.
- Requires an individual to be able to manage a team and work cross-functionally with other teams to coordinate complex solution delivery.
- 8+ years of experience building enterprise-level applications on large-scale distributed systems with a bachelor's degree in Computer Science or equivalent experience
- Knowledge of BI concepts and implementation experience on Cloud with databases like Snowflake
- Programming experience in building high-quality software. Proficiency in at least one of the following programming languages - Python, Scala, or Java.
- Strong hands-on experience in designing and developing cloud-based applications that include large-scale compute services, database services, APIs, ETL, etc.
- Experience in developing highly optimized SQLs, procedures & semantic processes for distributed data applications.
- Thoughtful leader who has leveraged deep expertise to drive organizational change with measurable impact
- Ability to contribute consistently and positively in a high-paced, fast-charging, and unpredictable work environment
- Thrive in a dynamic environment, maintaining composure and a positive attitude.
- The role also requires excellent communication and the ability to partner closely with product managers, designers, and other engineering teams, with a strong focus on delivering value to our users.
- Self-motivated and proactive, with demonstrated creative and critical thinking capabilities required to forge a path to success
- Manage a team of dedicated individual contributors, guiding the scope of work
- tracking, and leading priorities against business objectives. Mentor and support individual performance, career growth, and development.
- Data Insights and KPIs: Working experience in generating and visualizing data insights, metrics, and KPIs. Usage of basic ML models in the space of anomaly detection, forecasting, and GenAI.
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