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Associate Director - Cloud-Based Data Science - Bangalore
WNS Global Services
Bengaluru, IND
Full-time
Senior · 6+ years experience
Hybrid
Discovered 3 weeks ago
Microsoft AzureGoogle Cloud PlatformPythonJavaSQLScala
Free
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Role Overview
The Technical Manager is responsible for leading a cloud-based data science program and managing a cross-functional team of data engineers, data scientists, cloud architects, and technical professionals. The role oversees the end-to-end delivery of scalable, secure, and high-performance cloud solutions while ensuring alignment with business objectives. The successful candidate will drive technical strategy, manage project execution, collaborate with stakeholders, and ensure the delivery of high-quality data science and machine learning solutions.
Key Skills for This Role
Microsoft AzureGoogle Cloud PlatformPythonJavaSQLScala
Full Job Posting
Role Summary
The Technical Manager is responsible for leading a cloud-based data science program and managing a cross-functional team of data engineers, data scientists, cloud architects, and technical professionals. The role oversees the end-to-end delivery of scalable, secure, and high-performance cloud solutions while ensuring alignment with business objectives. The successful candidate will drive technical strategy, manage project execution, collaborate with stakeholders, and ensure the delivery of high-quality data science and machine learning solutions.
Key Responsibilities
- Lead, mentor, and manage a multidisciplinary technical team, fostering collaboration, innovation, and continuous learning.
- Oversee the design, development, and optimization of cloud-based data platforms, machine learning solutions, and data pipelines, ensuring scalability, performance, security, and reliability.
- Manage the complete project lifecycle, including planning, execution, resource allocation, risk management, timelines, budgets, and successful delivery.
- Collaborate with product managers, business analysts, and technical stakeholders to prioritize work, align technical solutions with business goals, and ensure seamless deployment of cloud-based analytics and machine learning solutions.
- Establish and promote best practices for cloud architecture, software development, data engineering, model deployment, code quality, testing, monitoring, and operational excellence.
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