Engineering Program Manager - Apple Ads
At Apple, we work every day to create products that enrich people’s lives. Our Advertising Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work.
Our technology and services power advertising in Apple News, the App Store, and on Apple TV+. Our platforms are highly performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy.
We are looking for a seasoned Program Manager with a consistent record. You will need to have hands on experience managing design and development of analytical solutions and data products. You will be ready to work in partnership with data analysts, data engineers, and data scientists to drive the right results. You have keen abilities to motivate 3rd-party partners, work in unison with them and deliver results that meet Apple standards.
- Lead multiple, varying scope, cross-functional projects, providing project leadership and daily management through end-to-end project life cycle.
- Lead all aspects of project information including timelines, resource allocation, scope, and definition–including development of detailed project requirements and their monitoring.
- Manage cross-functional business and operational requirements and expectations with realistic project plans.
- Actively seek out and resolve cross-functional and business issues.
- Assist management in assessing and prioritizing projects.
- Actively seek problem resolutions.
- Support internal and external groups.
- Analyze data and report to management and others
- Build a positive relationship with cross-functional, internal organizations.
- Navigate and execute in an environment of ambiguity and lead teams to the successful delivery of solutions.
- Minimum of 5 years of project management experience in field of data and/or applied analytics. Related roles may include Technical Project Manager, Technical Product Owner, Engineering Manager, and/or Solution Architect in a relevant field.
- Deep understanding of data science / machine learning model development cycles, project flows, and implementation of project management using agile scrum.
- Goal-oriented, highly motivated and able to work under minimal supervision in a cross-functional environment at detailed levels whilst taking account of interdependencies at higher levels.
- Effective presentation, oral, and written business communication skills with various audiences and levels.
- Core abilities to manage complex schedules of multiple streams of work.
- Strong facilitation skills (design, problem resolution, progress, status meetings, and the like).
- Ability to negotiate creative solutions to complex problems, guide teams during challenging situations, and obtain alignment across cross functional partners.
- Experience in data analysis, comfortable reading and understanding queries. Knowledge of data algorithms, tools, and analysis techniques is a plus.
- Proven past in technical, analytical, and/or engineering project delivery and working with data analysts, machine learning engineers, data scientists, data engineers, and analytics leadership.
- BS degree in a quantitative field of study including engineering, statistics, math, economics, or a related discipline
- Minimum of 8 years of project management experience in field of data and/or applied analytics. Related roles may include Technical Project Manager, Technical Product Owner, Engineering Manager, and/or Solution Architect in a relevant field. Consulting experiences is a plus but not required.
- MS degree in a quantitative field of study including engineering, statistics, math, economics, or a related discipline
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.