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Are you a big-picture problem solver who loves setting ambitious goals? Do you have a passion for understanding how each line of code affects all the others? In the Core Operating Systems group, you'll ensure the OS is inseparable from each device's identity as a whole. That's because this group is committed to building fully integrated operating systems that combine hardware, software, and apps into a single Apple experience. Your dedication to cross-disciplinary collaboration will help develop groundbreaking technologies, such as iOS, macOS, watchOS, and tvOS. By crafting these distinct, multidisciplinary user experiences, you'll continue to uphold and advance the excellence people expect from Apple devices.
The Platform Services & Operations team in Core OS is looking for a Workflow Systems Data Analytics Manager to grow and foster an impactful team of data professionals. You'll champion data science methods with the team to design and develop essential workflow analytics at scale. The Workflow Engineering team enable teams to deliver high quality software through best in class engineering experiences, efficient workflow, data driven insights, and a culture of continuous improvement. Your team's focus is delivering practical data insights, and engaging with partners across the organization in support of workflow initiatives.
Key Qualifications
5+ years of industry experience in a data science or analytics role
2+ years of experience managing a data science or analytics team
Proven track record of successfully leading data-driven initiatives and projects in an engineering environment
Proficiency in Data Analytics, summary statistics, principles of descriptive analysis, and predictive modeling
Experience working with multi-functional teams to deliver results and advance data science strategy
Outstanding communication and presentation skills to all levels of an organization
Experience translating business questions into clear answers, using analytics and data science techniques
Creative problem-solving skills and ability to think strategically about data-driven solutions to engineering challenges
Experience in producing powerful visualizations and dashboards that balance both art and science applying Tableau
Strong communication skills and ability to effectively present complex data insights through story telling to internal customers
Description
Oversee a team of strong data scientists, analysts, and engineers, to deliver comprehensive workflow analytics
Foster a healthy and robust team culture that enables reproducible, trusted work that influences decisions in support of critical initiatives
Contribute with the team to conduct high-impact exploratory analyses and investigations to enrich our understanding of engineering workflows
Present findings from analytics and research and make specific recommendations to leadership and multi-functional partners
Collaborate with leaders across the organization to identify and solve complex business opportunities with data-driven insights
Lead data engineering initiatives to define and improve data architectures that support the vision and maintain best practices
Provide strategic direction and guidance for the applications of data science and analytics across the organization
Education & Experience
Degree in a quantitative field such as Data Science, Statistics, Engineering, Computer Science, Information Technology, Mathematics or a similar field
Are you a big-picture problem solver who loves setting ambitious goals? Do you have a passion for understanding how each line of code affects all the others? In the Core Operating Systems group, you'll ensure the OS is inseparable from each device's identity as a whole. That's because this group is committed to building fully integrated operating systems that combine hardware, software, and apps into a single Apple experience. Your dedication to cross-disciplinary collaboration will help develop groundbreaking technologies, such as iOS, macOS, watchOS, and tvOS. By crafting these distinct, multidisciplinary user experiences, you'll continue to uphold and advance the excellence people expect from Apple devices.
The Platform Services & Operations team in Core OS is looking for a Workflow Systems Data Analytics Manager to grow and foster an impactful team of data professionals. You'll champion data science methods with the team to design and develop essential workflow analytics at scale. The Workflow Engineering team enable teams to deliver high quality software through best in class engineering experiences, efficient workflow, data driven insights, and a culture of continuous improvement. Your team's focus is delivering practical data insights, and engaging with partners across the organization in support of workflow initiatives.
Key Qualifications
5+ years of industry experience in a data science or analytics role
2+ years of experience managing a data science or analytics team
Proven track record of successfully leading data-driven initiatives and projects in an engineering environment
Proficiency in Data Analytics, summary statistics, principles of descriptive analysis, and predictive modeling
Experience working with multi-functional teams to deliver results and advance data science strategy
Outstanding communication and presentation skills to all levels of an organization
Experience translating business questions into clear answers, using analytics and data science techniques
Creative problem-solving skills and ability to think strategically about data-driven solutions to engineering challenges
Experience in producing powerful visualizations and dashboards that balance both art and science applying Tableau
Strong communication skills and ability to effectively present complex data insights through story telling to internal customers
Description
Oversee a team of strong data scientists, analysts, and engineers, to deliver comprehensive workflow analytics
Foster a healthy and robust team culture that enables reproducible, trusted work that influences decisions in support of critical initiatives
Contribute with the team to conduct high-impact exploratory analyses and investigations to enrich our understanding of engineering workflows
Present findings from analytics and research and make specific recommendations to leadership and multi-functional partners
Collaborate with leaders across the organization to identify and solve complex business opportunities with data-driven insights
Lead data engineering initiatives to define and improve data architectures that support the vision and maintain best practices
Provide strategic direction and guidance for the applications of data science and analytics across the organization
Education & Experience
Degree in a quantitative field such as Data Science, Statistics, Engineering, Computer Science, Information Technology, Mathematics or a similar field
