Associate Director - Cloud-Based Data Science - Bangalore

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Skills you'll use

What you'll do

• 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.
• Continuously evaluate system performance, recommend improvements, and stay current with emerging technologies in cloud computing, artificial intelligence, machine learning, and data engineering.
• Manage cloud infrastructure, tools, and budgets efficiently while providing regular project updates, dashboards, presentations, and technical reports to leadership and stakeholders.
•  Act as the primary liaison between technical teams and business stakeholders, ensuring clear communication and effective stakeholder management.
• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related discipline.
• Minimum 6 years of experience in technical leadership or management, preferably leading cloud-based data science, analytics, or machine learning programs.

About WNS Global Services

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