The Sr Manager, Machine Learning at T-Mobile is instrumental in leading the strategic implementation and operational management of AI and ML projects. This role is pivotal in coordinating multi-functional teams to optimize processes and integrate AI/ML models seamlessly into business operations, enhancing operational efficiency and innovation.
Requirements
- Experience with data querying, wrangling, cleaning, and feature engineering in big data environments such as AWS, Azure, and Google Cloud (Preferred)
- Experience building and deploying data mining, visualization, statistical modeling, and machine learning solutions using various supervised/unsupervised ML algorithms (Preferred)
- In-depth knowledge and experience in engineering and artificial intelligence/machine learning, critical for the technical oversight and strategic implementation of AI/ML solutions. (Required)
Responsibilities
- Leads the strategic implementation and operational management of AI and ML projects, ensuring alignment with organizational goals
- Coordinates multi-functional teams to integrate AI/ML models into business operations, enhancing efficiency and innovation
- Manages critical decisions related to team development, resource planning, and budget allocation
- Collaborates with various departments to ensure seamless operation and implementation of AI and ML technologies
- Drives advancements in technological capabilities through effective leadership and strategic oversight
- Evaluates project outcomes and adjusts strategies to meet business needs and technological trends
Other
- Bachelor's Degree Computer Science, Data Science, or Related Field (Required)
- Master's/Advanced Degree Computer Science or Data Science (Preferred)
- Experience leading and managing a team in the field of machine learning or data science (Preferred)
- Strong leadership skills with the ability to lead and inspire cross-functional teams. (Required)
- Exceptional critical thinking and problem-solving abilities, with a deep understanding of AI/ML technologies and applications. (Required)
- Excellent communication, negotiation, and interpersonal skills to collaborate effectively with technical and non-technical stakeholders. (Required)
- Strong project management skills, with the ability to manage complex AI/ML initiatives and prioritize competing demands. (Required)