Associate Director Cloud-Based Data Science Bangalore

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 :

Bachelors or Masters 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.

Remote Work :

No

Employment Type :

Full-time