Associate Director Cloud-Based Data Science Program

Technical Manager for Cloud-Based Data Science Program

Role Overview:

We are looking for an experienced Technical Manager to oversee a cloud-based data science program guiding a team of data engineers data scientists and cloud architects to deliver scalable efficient and high-performance data science solutions.

The Technical Manager will be responsible for ensuring the successful execution of the program managing the technical aspects of the project lifecycle and collaborating across teams to drive results.

Key Responsibilities:

Team Leadership & Management:

o Lead mentor and inspire a cross-functional team of engineers data scientists and other technical professionals.

o Foster a collaborative and innovative environment where team members can grow and achieve their full potential.

o Manage day-to-day operations and project deliverables ensuring timely and high-quality outputs.

Cloud Architecture & Data Science Strategy:

o Oversee the design development and optimization of cloud-based platforms for data science and machine learning.

o Collaborate with senior stakeholders to define technical strategies and ensure alignment with business objectives.

o Ensure the architecture supports scalability performance data security and efficient integration of machine learning models and analytics.

Project Management:

o Lead the planning execution and delivery of cloud-based data science programs.

o Define project timelines milestones and budgets while managing risks and ensuring project scope is met.

o Coordinate with product managers business analysts and other stakeholders to prioritize tasks and ensure the delivery of business value.

Cross-Functional Collaboration:

o Work closely with other technical and business teams to align objectives integrate data workflows and ensure smooth deployment of data-driven solutions.

o Partner with cloud engineers data scientists and machine learning experts to ensure technical excellence across the program.

o Act as a bridge between technical teams and non-technical stakeholders to ensure alignment on project goals.

Technical Excellence & Best Practices:

o Establish and enforce best practices for cloud architecture data pipelines and model deployment within the data science program.

o Monitor the performance and reliability of cloud-based systems ensuring continuous optimization and high availability.

o Stay up-to-date with industry trends and emerging technologies in cloud computing data science and machine learning.

Performance & Quality Assurance:

o Ensure the high quality of code models and data pipelines through proper code reviews testing and monitoring.

o Implement robust monitoring and logging systems to detect and address issues proactively.

o Continuously evaluate the efficiency and effectiveness of the data science program and recommend improvements.

Resource & Budget Management:

o Oversee the allocation of resources (personnel cloud infrastructure tools) and ensure they are used efficiently to meet program goals.

o Manage budgets related to cloud services data engineering tools and infrastructure investments.

Stakeholder Reporting & Communication:

o Provide regular updates to senior management and stakeholders on the progress of the program risks and roadblocks.

o Create and deliver presentations reports and dashboards to communicate technical findings and achievements.

Qualifications :

Required Qualifications:

Education:

o Bachelors or Masters degree in Computer Science Engineering Data Science or a related field.

Experience:

o Minimum 6 years of experience in a technical leadership or management role ideally in cloud-based data science or machine learning programs.

o Hands-on experience with cloud platforms such as AWS Azure or Google Cloud.

o Proven track record of managing end-to-end data science or machine learning projects in cloud environments.

o Experience in leading teams of engineers and data scientists with a strong understanding of cloud architecture data pipelines and model deployment.

Technical Skills:

o Strong understanding of cloud infrastructure data engineering and machine learning technologies.

o Proficiency in programming languages such as Python Java SQL or Scala.

o Familiarity with cloud services like AWS S3 Redshift BigQuery Databricks and Google Cloud AI/ML tools.

o Experience with containerization tools like Docker and orchestration platforms like Kubernetes.

o Knowledge of DevOps practices CI/CD pipelines and tools (e.g. Jenkins Terraform).

Leadership & Communication Skills:

o Strong leadership abilities with experience managing diverse technical teams and driving results.

o Excellent verbal and written communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

o Strong interpersonal skills to collaborate with cross-functional teams and manage stakeholder expectations.

Preferred Qualifications:

Experience with managing multi-cloud or hybrid-cloud architectures.

Familiarity with big data technologies like Hadoop Spark or Kafka.

Advanced certifications in cloud platforms (e.g. AWS Certified Solutions Architect Azure Solutions Architect Expert).

Background in developing data governance strategies and ensuring compliance with data privacy regulations.

Experience with business intelligence tools (e.g. Tableau Power BI) and data visualization best practices.

Agile knowledge

Remote Work :

No

Employment Type :

Full-time

Experience: years
Vacancy: 1