AIML Data Collections Technical Project Manager

The AIML Data Collections team is a fast-paced dynamic this role you will engage with teams across Apples ecosystem with the ultimate goal of delivering high-quality data to be used for ML algorithm this role you will be working closely with ML engineering teams as a key stakeholder providing crucial data that they need to develop their algorithms to support features for all Apple customers.

You are a vital part of the AIML Data Collections team who is responsible for planning executing and managing complex data collection projects across multiple partner teams. You are responsible for leading data collection project portfolios from intake and scoping through planning u0026 design to coordinating tool and equipment setup and equipment with corresponding teams and colleagues managing the collection and finally closing out projects upon successful delivery of assets. nnYou are someone who LOVES data and is never-endingly curious about how it makes our products better. You love working closely with people AND are highly organized communication-focused and able to think dynamically in implementing challenging technical solutions.n

You will work as the main data collections DRI for a number of projects and programs. Your core work includes:nnSuccessfully overseeing the outcomes of projects via delivery of agreed-upon assets to requesting clientsnEnabling the flow of critical project information across the ecosystem of engineering teams and leadership and AIML DC managers and leadership vendors u0026 contractors.

Bachelor of Science or equivalent degreen8 years experience managing technical projects or programs including large cross-functional initiatives across global teamsnExcellent program management skills including program structuring timeline u0026 resource planning vendor management and managing multiple work streams interdependentlynStrong verbal analytical presentation and written communication skills. Able to manage high-level stakeholder meetings effectively. Ability to disambiguate requirements and negotiate with other teams effectivelynExpertise navigating systems and tools sharing best practices with team members

Love Data! Be a real people person!nThrive in a fast paced environment and maintain a good working relationship with key project stakeholdersnExcellent in teamwork and relationship building. Works to establish a collaborative working environment. Will go above and beyond to get the job issues proactively across teams and demonstrate flexibility and adaptability to changing workflows and processesnHave a high degree of resourcefulness flexibility creative decision-making and problem-solving abilitiesnProven attention to detail and critical thinking skills demonstrating integrity and focus on customer privacynAutomated data validation experience using ML technologies is a strong advantagenExperience with Python GIT or other source control u0026 programming languages is an advantage