What is a Senior Business Development Manager AWS Machine Learning Job?
A Senior Business Development Manager AWS Machine Learning Job is a high-level position in the field of machine learning at Amazon Web Services (AWS). This role involves working with customers to understand their business challenges and identify opportunities to leverage machine learning to solve them. The Senior Business Development Manager is responsible for building and maintaining relationships with customers, developing go-to-market strategies, and driving revenue growth through the adoption of AWS machine learning services.
What do individuals in this position typically do?
Individuals in this position work closely with customers to identify opportunities for using machine learning to solve business challenges. They work with internal teams to develop and execute go-to-market strategies, and are responsible for driving revenue growth through the adoption of AWS machine learning services. Additionally, Senior Business Development Managers in this role are responsible for building and maintaining relationships with key stakeholders, such as C-level executives, and keeping up-to-date on industry trends and developments.
Top 5 Skills for Position
- Strong communication skills: the ability to communicate complex technical concepts to non-technical stakeholders is critical in this role.
- Business acumen: a strong understanding of business principles, including marketing, sales and finance, is essential for developing go-to-market strategies and driving revenue growth.
- Leadership: strong leadership skills are required to manage teams and drive projects to completion.
- Technical expertise: a deep understanding of machine learning principles and AWS services is necessary to effectively communicate with customers and internal teams.
- Problem-solving skills: the ability to identify business challenges and develop solutions using machine learning is a key skill for this role.
How to Become a Senior Business Development Manager AWS Machine Learning Specialist
To become a Senior Business Development Manager AWS Machine Learning Specialist, one typically needs a bachelor's degree in computer science, engineering, or a related field. In addition, several years of experience in a technical or business role is necessary, as well as a deep understanding of machine learning principles and AWS services. Strong communication, leadership, and problem-solving skills are also required. Additionally, obtaining certifications in AWS and machine learning can be beneficial.
Average Salary
According to Glassdoor, the average salary for a Senior Business Development Manager AWS Machine Learning job in the United States is $148,000 per year.
Roles and Types
Senior Business Development Manager AWS Machine Learning jobs can vary in focus depending on the specific needs of the organization. Some roles may focus on developing go-to-market strategies for new AWS machine learning services, while others may focus on driving revenue growth through the adoption of existing services. Additionally, some roles may be more technical in nature, while others may be more business-oriented.
Locations with the Most Popular Jobs in the USA
The most popular locations for Senior Business Development Manager AWS Machine Learning jobs in the United States include Seattle, San Francisco, New York, Boston, and Austin.
What are the Typical Tools?
Typical tools used in this role include AWS machine learning services such as Amazon SageMaker, Amazon Comprehend, and Amazon Rekognition. Additionally, tools such as Jupyter notebooks and Python are commonly used in data analysis and modeling.
In Conclusion
A Senior Business Development Manager AWS Machine Learning job is a high-level position in the field of machine learning at Amazon Web Services. This role requires strong communication, leadership, and problem-solving skills, as well as a deep understanding of machine learning principles and AWS services. The average salary for this role in the United States is $148,000 per year, and popular locations for these jobs include Seattle, San Francisco, and New York. Typical tools used in this role include AWS machine learning services and programming languages such as Python.