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Senior Manager (Data, Analytics and AI)

  • ... Posted on: Mar 16, 2026
  • ... Consortium for Clinical Research and Innovation Singapore
  • ... Pioneer, Louisiana
  • ... Salary: Not Available
  • ... Full-time

Senior Manager (Data, Analytics and AI)   

Job Title :

Senior Manager (Data, Analytics and AI)

Job Type :

Full-time

Job Location :

Pioneer Louisiana United States

Remote :

No

Jobcon Logo Job Description :

Job Responsibilities Design and optimise scalable data workflows with subject matter expertise in data loading patterns, data architecture etc. Develop and maintain robust data pipelines that support both real-time and batch processing Extract and integrate data from various sources, developing and scaling models in real-time business conditions. This includes interfacing (via API) between the data layer and application layer. Leverage on SQL to ensure efficient data transformation and analytics Implement data modelling best practices to support AI/ML applications, including schema design, partitioning strategies and indexing for performance optimisation Integrate diverse data sources (e.g. structured, semi-structured and unstructured) into unified data architectures that power AI-driven applications and insights Train advanced models and algorithms suitable for business use – Models include computer vision models, forecasting models, route optimisation etc. Work as a team to ensure data readiness, feature engineering pipelines and reproducibility of experiments Champion data quality and governance by implementing validation, lineage tracking, and compliance standards Serve as data engineer, software engineer, cloud engineer and AI scientist all-in-one Job Requirements Min. Bachelor Degree in Engineering, Economics, Mathematics, Computer Science or related areas Minimum 8 to 10 years of work experience in a related role dealing with data Familiarity with data manipulation, statistical analysis and machine learning theories. Thisincludes extracting and integration of data from various sources, developing and scaling models in real-time business conditions. This includes interfacing (via API) between the data layer and application layer. Understanding of software engineering practices (e.g. Version Control), containerization, CI/CD pipelines Experience with deploying models using frameworks like TensorFlow, PyTorch, and extremely familiar with platforms like Azure, Databricks, Fabric Advanced proficiency in SPARK, Python, Java, SQL, Pandas, Hugging Face, Open AI APIs Advanced proficiency with both full stack software engineering and data engineering with solid experience with working with Azure etc. Familiar with data ethics and governance including best practices on how data should be managed securely Work location : 60 pioneer Road, Tuas #J-18808-Ljbffr

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Jobcon Logo Position Details

Posted:

Mar 16, 2026

Reference Number:

14660_B5849E1117FDD03F24978C6AD4EA9D6B

Employment:

Full-time

Salary:

Not Available

City:

Pioneer

Job Origin:

APPCAST_CPC

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Job Responsibilities Design and optimise scalable data workflows with subject matter expertise in data loading patterns, data architecture etc. Develop and maintain robust data pipelines that support both real-time and batch processing Extract and integrate data from various sources, developing and scaling models in real-time business conditions. This includes interfacing (via API) between the data layer and application layer. Leverage on SQL to ensure efficient data transformation and analytics Implement data modelling best practices to support AI/ML applications, including schema design, partitioning strategies and indexing for performance optimisation Integrate diverse data sources (e.g. structured, semi-structured and unstructured) into unified data architectures that power AI-driven applications and insights Train advanced models and algorithms suitable for business use – Models include computer vision models, forecasting models, route optimisation etc. Work as a team to ensure data readiness, feature engineering pipelines and reproducibility of experiments Champion data quality and governance by implementing validation, lineage tracking, and compliance standards Serve as data engineer, software engineer, cloud engineer and AI scientist all-in-one Job Requirements Min. Bachelor Degree in Engineering, Economics, Mathematics, Computer Science or related areas Minimum 8 to 10 years of work experience in a related role dealing with data Familiarity with data manipulation, statistical analysis and machine learning theories. Thisincludes extracting and integration of data from various sources, developing and scaling models in real-time business conditions. This includes interfacing (via API) between the data layer and application layer. Understanding of software engineering practices (e.g. Version Control), containerization, CI/CD pipelines Experience with deploying models using frameworks like TensorFlow, PyTorch, and extremely familiar with platforms like Azure, Databricks, Fabric Advanced proficiency in SPARK, Python, Java, SQL, Pandas, Hugging Face, Open AI APIs Advanced proficiency with both full stack software engineering and data engineering with solid experience with working with Azure etc. Familiar with data ethics and governance including best practices on how data should be managed securely Work location : 60 pioneer Road, Tuas #J-18808-Ljbffr

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