Associate Director - Cloud Data Science

WNS Global Services Pvt Ltd; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

WNS Global Services Pvt Ltd in Bangalore seeks an Associate Director to lead a cloud-based data science program, guiding a cross-functional team of data engineers, data scientists, cloud architects and other technical professionals toward scalable, secure cloud solutions.

The role emphasizes strategic tech leadership, end-to-end delivery, collaboration with product and business stakeholders, and ongoing adoption of best practices in data engineering, ML deployment and cloud infrastructure.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related discipline.
• Minimum 6 years in technical leadership or management, with cloud-based data science exposure.
• Hands-on experience with cloud platforms (AWS/Azure/GCP) and end‑to‑end DS solutions.
• Strong knowledge of data pipelines, cloud architecture, and model deployment.

Responsibilities

• Lead, mentor, and manage a multidisciplinary technical team, fostering collaboration and learning.
• Oversee design, development, and optimization of cloud-based data platforms, ML solutions, and pipelines.
• Manage the complete project lifecycle: planning, execution, budgets, timelines, risks, delivery.
• Collaborate with product managers, analysts, and stakeholders to align tech with business goals.
• Establish best practices for cloud architecture, development, deployment, testing, and monitoring.
• Stay current with cloud, AI/ML, and data engineering advances and propose improvements.
• Manage cloud infrastructure, tools, and budgets; provide leadership dashboards and reports.
• Serve as liaison between technical teams and business stakeholders for clear communication.

Skills

Cloud leadership

Data science leadership

Programming knowledge

Stakeholder management

Project management

Education

Bachelor's/Master's in CS/Engineering/DS

Tools

AWS

Azure

Google Cloud Platform

Docker

Kubernetes

CI/CD

Terraform

Jenkins

Job description

Associate Director - Cloud-Based Data Science - Bangalore

Company Description

WNS, part of Capgemini, is an Agentic AI-powered leader in intelligent operations and transformation, serving more than 700 clients across 10 industries, including Banking and Financial Services, Healthcare, Insurance, Shipping and Logistics, and Travel and Hospitality. We bring together deep domain excellence - WNS’ core differentiator - with AI-powered platforms and analytics to help businesses innovate, scale, adapt and build resilience in a world defined by disruption. Our purpose is clear: to enable lasting business value by designing intelligent, human-led solutions that deliver sustainable outcomes and a differentiated impact. With three global headquarters across four continents, operations in 13 countries, 65 delivery centers and more than 66,000 employees, WNS combines scale, expertise and execution to create meaningful, measurable impact.

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.
• 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.

Qualifications

• 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.
• Hands‑on experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform and a proven track record of delivering end‑to‑end cloud-based data science solutions.
• Strong knowledge of cloud infrastructure, data engineering, machine learning, cloud architecture, data pipelines, and model deployment.
• Proficiency in Python, Java, SQL, or Scala.
• Experience with cloud services such as AWS S3, Redshift, BigQuery, Databricks, Google Cloud AI/ML services, Docker, Kubernetes, CI/CD pipelines, Terraform, and Jenkins.
• Excellent leadership, project management, communication, stakeholder management, and problem‑solving skills with the ability to explain complex technical concepts to both technical and non‑technical audiences.

Preferred Qualifications

• Experience managing multi‑cloud or hybrid cloud environments.
• Knowledge of Hadoop, Spark, Kafka, and other big data technologies.
• Cloud certifications such as AWS Certified Solutions Architect or Microsoft Azure Solutions Architect Expert are preferred.
• Experience with data governance, data privacy compliance, business intelligence tools including Tableau and Power BI, data visualization best practices, and Agile methodologies is an advantage.

Experience Level

Mid Level