Oracle
Senior Director of Applied Science (OCI/GenAI)
Oracle, Seattle, Washington, us, 98127
We’re a cloud technology company that provides organizations around the world with computing infrastructure and software to help them innovate, unlock efficiencies, and become more effective. We also created the world’s first – and only – autonomous database to help organize and secure our customers’ data.
Oracle Cloud Infrastructure offers higher performance, security, and cost savings. It is designed so businesses can move workloads easily from on-premises systems to the cloud, and between cloud and on-premises and other clouds. Oracle Cloud applications provide business leaders with modern applications that help them innovate, attain sustainable growth, and become more resilient.
The work we do is not only transforming the world of business - it's helping defend governments and advance scientific and medical research. From nonprofits to companies of all sizes, millions of people use our tools to streamline supply chains, make HR more human, quickly pivot to a new financial plan, and connect data and people around the world.
Career Level - M5
Responsibilities:
Strategic Leadership: As the Senior Director of Applied Science, you will be responsible for setting the strategic direction for our cloud services from a scientific perspective. Collaborate with the executive team to align the company's vision with the research and development agenda.
Applied Research: Lead a team of scientists, data engineers, and developers in conducting applied research to enhance our cloud services. Explore emerging technologies, analyze market trends, and leverage data-driven insights to develop innovative solutions that meet the evolving needs of our clients.
Cloud Technology Development: Drive the development and deployment of cutting-edge cloud-based technologies, including but not limited to cloud infrastructure, data storage, serverless computing, artificial intelligence, and machine learning services.
Cross-Disciplinary Collaboration: Work closely with cross-functional teams to integrate multimodal capabilities into various applications and products. Foster a culture of innovation and collaboration between the Applied Science team and other departments, including product development, engineering, and marketing. Encourage knowledge sharing and joint problem-solving to leverage the full potential of our cloud services.
Product Innovation: Work closely with product managers and engineers to translate scientific advancements into practical, scalable, and marketable cloud services. Ensure that our products are at the forefront of technological innovation and competitive in the cloud services industry.
Data Analysis and Insights: Utilize data analytics and machine learning techniques to derive actionable insights from large datasets. Leverage these insights to optimize cloud service offerings, enhance performance, and drive informed business decisions.
Intellectual Property and Patents: Identify opportunities for intellectual property creation and patent development based on innovative cloud technologies and solutions. Guide the team in preparing and filing patent applications to protect our intellectual assets.
Quality Assurance: Implement robust testing and validation procedures to ensure the reliability, security, and performance of our cloud services. Uphold industry standards and best practices in cloud technology.
Market Trends: Stay abreast of multimodal technology changes, competitive offerings, and customer feedback to identify new opportunities for product enhancements and expansions.
Budget Management: Oversee the budget allocation for the Applied Science organization, ensuring resources are optimized to meet research goals and deliver impactful cloud solutions.
Preferred Skills and Experience:
A Ph.D. in Computer Science (Machine Learning, Deep Learning), or a related field is preferred.
Experience: Demonstrated experience in leading research and development efforts within the cloud services industry. Proven track record of driving innovation and developing cloud-based solutions.
Technical Expertise: Deep understanding of cloud computing technologies and services. Familiarity with data analytics, machine learning, and artificial intelligence applied to cloud services.
Leadership Skills: Exceptional leadership and team management abilities, with experience leading cross-functional teams and driving successful projects.
Business Acumen: Strong business acumen and the ability to align scientific efforts with the company's strategic objectives and market demands.
Communication Skills: Excellent communication and presentation skills to convey complex technical concepts to diverse audiences, including non-technical stakeholders.
Problem-Solving: Strong analytical and problem-solving skills to address technical challenges and optimize cloud services effectively.
Adaptability: Thrive in a fast-paced, dynamic environment and adapt quickly to changing priorities and customer needs.
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Oracle Cloud Infrastructure offers higher performance, security, and cost savings. It is designed so businesses can move workloads easily from on-premises systems to the cloud, and between cloud and on-premises and other clouds. Oracle Cloud applications provide business leaders with modern applications that help them innovate, attain sustainable growth, and become more resilient.
The work we do is not only transforming the world of business - it's helping defend governments and advance scientific and medical research. From nonprofits to companies of all sizes, millions of people use our tools to streamline supply chains, make HR more human, quickly pivot to a new financial plan, and connect data and people around the world.
Career Level - M5
Responsibilities:
Strategic Leadership: As the Senior Director of Applied Science, you will be responsible for setting the strategic direction for our cloud services from a scientific perspective. Collaborate with the executive team to align the company's vision with the research and development agenda.
Applied Research: Lead a team of scientists, data engineers, and developers in conducting applied research to enhance our cloud services. Explore emerging technologies, analyze market trends, and leverage data-driven insights to develop innovative solutions that meet the evolving needs of our clients.
Cloud Technology Development: Drive the development and deployment of cutting-edge cloud-based technologies, including but not limited to cloud infrastructure, data storage, serverless computing, artificial intelligence, and machine learning services.
Cross-Disciplinary Collaboration: Work closely with cross-functional teams to integrate multimodal capabilities into various applications and products. Foster a culture of innovation and collaboration between the Applied Science team and other departments, including product development, engineering, and marketing. Encourage knowledge sharing and joint problem-solving to leverage the full potential of our cloud services.
Product Innovation: Work closely with product managers and engineers to translate scientific advancements into practical, scalable, and marketable cloud services. Ensure that our products are at the forefront of technological innovation and competitive in the cloud services industry.
Data Analysis and Insights: Utilize data analytics and machine learning techniques to derive actionable insights from large datasets. Leverage these insights to optimize cloud service offerings, enhance performance, and drive informed business decisions.
Intellectual Property and Patents: Identify opportunities for intellectual property creation and patent development based on innovative cloud technologies and solutions. Guide the team in preparing and filing patent applications to protect our intellectual assets.
Quality Assurance: Implement robust testing and validation procedures to ensure the reliability, security, and performance of our cloud services. Uphold industry standards and best practices in cloud technology.
Market Trends: Stay abreast of multimodal technology changes, competitive offerings, and customer feedback to identify new opportunities for product enhancements and expansions.
Budget Management: Oversee the budget allocation for the Applied Science organization, ensuring resources are optimized to meet research goals and deliver impactful cloud solutions.
Preferred Skills and Experience:
A Ph.D. in Computer Science (Machine Learning, Deep Learning), or a related field is preferred.
Experience: Demonstrated experience in leading research and development efforts within the cloud services industry. Proven track record of driving innovation and developing cloud-based solutions.
Technical Expertise: Deep understanding of cloud computing technologies and services. Familiarity with data analytics, machine learning, and artificial intelligence applied to cloud services.
Leadership Skills: Exceptional leadership and team management abilities, with experience leading cross-functional teams and driving successful projects.
Business Acumen: Strong business acumen and the ability to align scientific efforts with the company's strategic objectives and market demands.
Communication Skills: Excellent communication and presentation skills to convey complex technical concepts to diverse audiences, including non-technical stakeholders.
Problem-Solving: Strong analytical and problem-solving skills to address technical challenges and optimize cloud services effectively.
Adaptability: Thrive in a fast-paced, dynamic environment and adapt quickly to changing priorities and customer needs.
#J-18808-Ljbffr