Assistant Manager - Systems and Technology

Red Sea Global; Saudi Arabia; On-site; SAR 120,000 - 150,000; Full time

Job summary

An established industry player is seeking an Assistant Manager of System and Technology Implementation to enhance supply chain efficiency through AI and data-driven solutions. This role involves overseeing the implementation of advanced analytics, machine learning models, and data lake architecture, contributing to the Kingdom's Vision 2030. You will collaborate with cross-functional teams, manage data processes, and drive innovation to optimize operations. If you are passionate about leveraging technology to transform supply chain practices and possess strong analytical skills, this opportunity is perfect for you.

Qualifications

• 5+ years in data architecture, AI, or machine learning in supply chain.
• Expertise in Python and TensorFlow for predictive modeling.

Responsibilities

• Drive AI and digital automation initiatives in supply chain systems.
• Design and manage data lake architecture for analytics.

Skills

Python

TensorFlow

Machine Learning

Predictive Modeling

Data Governance

SQL

Data Management

Project Management

Communication Skills

Analytical Skills

Education

Bachelor's degree in Supply Chain Management

Master's degree in a related field

Tools

Power BI

AWS

Azure

Job description

An exciting opportunity to join one of Red Sea Global's subsidiaries, contributing to a dynamic and ever-evolving supply chain while making a meaningful impact on the Kingdom's Vision 2030.

Job Purpose:

The Assistant Manager of System and Technology Implementation plays a critical role in advancing supply chain efficiency and technological innovation. This role is responsible for implementing, overseeing and delivering AI, machine learning, advanced analytics, and data lake solutions that drive actionable insights, enabling data-driven decision-making across supply chain functions. The purpose of this role is to improve decision-making processes, streamline operations, and enhance data-driven performance across the Supply Chain and Logistics department.

Job Responsibilities:

Strategic Initiatives and Digital Transformation

• Drive strategic initiatives to incorporate AI, data analysis, and digital automation within supply chain systems.
• Collaborate with cross-functional teams to align system capabilities with broader organizational goals and digital transformation strategies.

Data Lake Architecture and Management

• Design, develop, and manage a scalable data lake architecture to support large volumes of structured and unstructured supply chain data.
• Ensure data integrity, security, and accessibility through collaboration with IT and data engineering teams.
• Manage data lake infrastructure to ensure availability, accessibility, and reliability for analytics and reporting.
• Implement data quality checks and monitor data lake performance, resolving issues promptly.
• Document data processes for traceability and reproducibility of analytics.

Data Pipelines and Integration

• Develop and maintain data pipelines for efficient data ingestion, integration, and retrieval processes.
• Coordinate with IT and data teams to ensure accurate data ingestion, transformation, and reporting.
• Monitor and refine data processes to support real-time analytics and predictive insights.

AI and Machine Learning Model Development

• Lead the development of AI and ML models to improve demand forecasting, inventory management, and process optimization.
• Utilize neural networks, transformers, and deep learning frameworks to enhance data accuracy, predictive capabilities, and automation within supply chain processes.
• Build, train, and deploy ML models for supply chain challenges such as anomaly detection, predictive maintenance, and operational optimization.
• Translate analytical needs into effective AI and ML solutions in partnership with cross-functional teams.

Functional Competencies

• Expert in consolidating various data sources into cohesive systems.
• Proficient in designing and implementing automation solutions to enhance warehouse operations.
• Skilled in identifying opportunities for enhancing operational processes with technology and automation.

Data Visualization and Reporting

• Develop interactive dashboards to visualize complex datasets, providing insights for real-time operations and predictive analytics.
• Oversee the end-to-end implementation of AI tools, Power BI dashboards, and data lake integration for supply chain operations.
• Generate and distribute analytical reports and dashboards using Power BI to communicate critical supply chain metrics.
• Implement user-friendly reporting interfaces that support strategic decision-making.

Project and Technical Delivery

• Drive technical delivery of data lake and AI projects, managing timelines, resources, and stakeholder expectations.
• Conduct feasibility studies, draft technical requirements, and evaluate proposals to identify optimal solutions.
• Create and present project updates, technical insights, and performance reports for non-technical audiences, enhancing transparency.

Governance and Compliance

• Establish data governance standards to ensure accuracy, consistency, and regulatory compliance.
• Ensure compliance with data security standards and implement quality control measures to maintain data integrity.

Innovation and Process Optimization

• Participate in innovation committees to test and develop AI-driven initiatives for supply chain and logistics optimization.
• Identify opportunities for process optimization and technological enhancements within the supply chain ecosystem.
• Develop proof-of-concept initiatives to assess potential value before full-scale implementation.

Training and Team Development

• Provide mentorship to team members on AI, ML, and data management best practices, enhancing team capabilities.
• Lead workshops and training sessions to strengthen departmental capabilities in new technologies and analytical tools.

Policies, Systems, Processes, Procedures, Standards and Reports

• Follow all relevant functional policies, processes, standard operating procedures, and instructions to ensure that work is carried out in a controlled and consistent manner.
• Assist in the preparation of accurate and timely functional statements and reports to meet corporate and functional requirements, policies, and standards.

Safety, Quality & Environment

• Apply safety, quality and environmental management policies, procedures, and controls to ensure employee safety, legislative compliance, delivery of high-quality products/service and a responsible environmental attitude.

Continuous Improvement

• Contribute to the identification of opportunities for continuous improvement of departments systems, processes and practices considering international best practice, improvement of business processes, cost reduction and productivity improvement.

Job Requirements:

Qualifications & Experience

• Bachelors degree in supply chain management, Information Systems, Data Science, or a related field; masters degree preferred.
• Minimum of 5 years in data architecture, AI, machine learning, or related analytics fields, with a focus on supply chain or logistics.

Skills

• Proficiency in Python, TensorFlow, and relevant programming languages, with expertise in machine learning and predictive modeling within supply chain contexts.
• Familiarity with cloud-based data platforms (e.g., AWS, Azure) and proficiency in Power BI for data modeling, report creation, and dashboard development.
• Strong command of data lake architecture, data management, data storage optimization, and data governance practices.
• Knowledge of SQL and experience with data integration and retrieval optimization.
• Strong analytical, problem-solving, and project management skills.
• Excellent communication and stakeholder management abilities.

Key Competencies

• AI and ML Model Implementation
• Data Lake and Data Integration Management
• Strategic Thinking and Problem-Solving
• Cross-Functional Collaboration
• Effective Communication and Presentation