Data Product Manager - Data Science & Analytics - Apple Media Products
Apply NowCompany: Apple
Location: Cupertino, CA 95014
Description:
Summary
The Data Product Manager plays a pivotal role in managing engagement data (clickstream and play activity data) of multiple lines of businesses across Apple Services. The role empowers data science by ensuring the availability of reliable and privacy-friendly engagement data through data collection and dataset development in collaboration with engineering partners. The scope encompasses not only 1st party apps, but also 2nd party and 3rd party apps as well.
The Data Product Manager collaborates closely with privacy and legal teams across Apple to ensure compliance with global regulatory guidelines. The Data Product Manager possesses a comprehensive understanding of the data landscape and data models of Apple Services. This role is responsible for continuously enhancing the data landscape by working with engineers to innovate on privacy-friendly data management and scalable data modeling, introducing novel features and functionalities, while simultaneously prioritizing cost-effectiveness. This involves thoughtful consideration of data storage and processing strategies.
Description
Apple Services is seeking a detail-oriented Data Product Manager to oversee engagement data for multiple lines of businesses across our platforms. As a key player in this role, you will collaborate closely with data scientists, client, server, and privacy engineering partners, as well as legal teams to ensure the availability of reliable, privacy-friendly engagement data.
Responsibilities:
- Manage engagement data for 1st, 2nd, and 3rd party apps across Apple Services
- Collaborate with engineering partners to enable data collection, dataset development, and innovative privacy-friendly data management solutions
- Ensure compliance with global regulatory guidelines and work proactively to incorporate new regulations
- Prioritize and manage projects to enhance the data landscape, introduce novel features, and optimize cost-effectiveness
- Support business-critical initiatives by providing properly instrumented data for data science analyses
- Develop and deliver a dataset strategy, synthesizing the needs of data science, business intelligence and engineering partners.
The Data Product Manager plays a pivotal role in managing engagement data (clickstream and play activity data) of multiple lines of businesses across Apple Services. The role empowers data science by ensuring the availability of reliable and privacy-friendly engagement data through data collection and dataset development in collaboration with engineering partners. The scope encompasses not only 1st party apps, but also 2nd party and 3rd party apps as well.
The Data Product Manager collaborates closely with privacy and legal teams across Apple to ensure compliance with global regulatory guidelines. The Data Product Manager possesses a comprehensive understanding of the data landscape and data models of Apple Services. This role is responsible for continuously enhancing the data landscape by working with engineers to innovate on privacy-friendly data management and scalable data modeling, introducing novel features and functionalities, while simultaneously prioritizing cost-effectiveness. This involves thoughtful consideration of data storage and processing strategies.
Description
Apple Services is seeking a detail-oriented Data Product Manager to oversee engagement data for multiple lines of businesses across our platforms. As a key player in this role, you will collaborate closely with data scientists, client, server, and privacy engineering partners, as well as legal teams to ensure the availability of reliable, privacy-friendly engagement data.
Responsibilities:
- Manage engagement data for 1st, 2nd, and 3rd party apps across Apple Services
- Collaborate with engineering partners to enable data collection, dataset development, and innovative privacy-friendly data management solutions
- Ensure compliance with global regulatory guidelines and work proactively to incorporate new regulations
- Prioritize and manage projects to enhance the data landscape, introduce novel features, and optimize cost-effectiveness
- Support business-critical initiatives by providing properly instrumented data for data science analyses
- Develop and deliver a dataset strategy, synthesizing the needs of data science, business intelligence and engineering partners.