AIML Data Collections Technical Project Manager

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 & 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. You 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. Minimum Qualifications Bachelor of Science or equivalent degree 8+ years experience managing technical projects or programs including large, cross-functional initiatives across global teams Excellent program management skills including program structuring, timeline & resource planning, vendor management and managing multiple work streams interdependently Strong verbal, analytical, presentation and written communication skills. Able to manage high-level stakeholder meetings effectively. Ability to disambiguate requirements and negotiate with other teams effectively Expertise navigating systems and tools, sharing best practices with team members Preferred Qualifications Love Data! Be a real people person! Thrive in a fast paced environment and maintain a good working relationship with key project stakeholders Excellent in teamwork and relationship building. Works to establish a collaborative working environment. Will go above and beyond to get the job done. Communicate issues proactively across teams and demonstrate flexibility and adaptability to changing workflows and processes Have a high degree of resourcefulness, flexibility, creative decision-making, and problem-solving abilities Proven attention to detail and critical thinking skills, demonstrating integrity and focus on customer privacy Automated data validation experience using ML technologies is a strong advantage Experience with Python, GIT or other source control & programming languages is an advantage