Total 3 job vacancies by Cielo

Job Description

The Supply Chain Order Management Manager leads the end-to-end order management process, ensuring accurate, timely, and cost-effective fulfillment of customer orders. This role acts as a key interface between Sales, Planning, Manufacturing, Logistics, and Customer Service to ensure customer commitments are met.

Order Management and Execution

• Own RLC-Asia Order Process and Delivery activities, from order validation through fulfillment and ensures on-time delivery performance.
• Manage and handles order holds, backorders, allocation constraints, and delivery issues.
• Establish and monitor order fulfillment KPIs (On-time Delivery, backlog, etc.)
  

Customer and Cross Functional Stakeholder Coordination

• Partner with Sales, Demand Planning, Supply Planning, Warehouse, and Transportation teams on RLC Order related matters.
• Act as escalation point for customer delivery issues and business-critical shipments
• Communicate delivery commitments, changes, and risks clearly to internal and external stakeholders.
• Provide order visibility and backlog updates to support planning and execution decisions
  

Process / Continuous Improvement

• Drive continuous improvement in order management workflows, controls, and system utilization
• Standardize order management processes across regions or business units
• Lead or support transformation initiatives (ERP upgrades, automation, digital tools)
  

Reporting, Data and Analytics

• Analyze order patterns, backlog trends, and fulfillment risks
• Provide regular performance reports and insights to Global Operations Leadership
• Support forecasting accuracy and capacity planning through order visibility
• Execute order transactions in ERP systems (e.g. SAP)
  

Compliance and Process Governance

• Ensure compliance with trade, export controls, and internal policies
• Follow standard operating procedures and control requirements
• Participate in audits and process improvement initiatives
  

Team Leadership

• Lead, coach, and develop the order management team
• Set performance goals and conduct regular reviews
• Build strong customer focus and accountability culture
  

Qualifications

• Bachelors or Masters Degree or University Degree or equivalent.
• Typically 6+ years relevant experience in Order Management or Customer Fulfillment for entry to this level.
• Knowledge of global shipping, incoterms, and trade compliance
• Excellent stakeholder management and communication skills
• Strong analytical and problem-solving capability
• Ability to operate in fast-paced, regional, matrix environments
• Prior experience in SAP system is highly preferred.

Job Description

• Leads, or contributes to, the design and execution of end-to-end supply chain solutions and strategy including planning, material information and financial flows, manufacturing and logistics.

• Leads or participates in multi-function supply chain projects with an emphasis on project planning, supply chain modeling/analysis and optimization of cost, service and inventory.

• Participates in the design, development and implementation of end-to-end supply chain designs, strategies, models, processes, business intelligence and tools to support business growth.

• Identifies gaps and recommends opportunities for improving efficiency, effectiveness and capabilities of the supply chain.

• Works in conjunction with Information Technology partners to ensure the system framework addresses business requirements.

• Implements, tests, troubleshoots and improves business systems to increase manufacturing quality, efficiency and volume.

Qualifications

• Bachelor's or Master's Degree or equivalent.

• PMP certification preferred, with proven experience managing large-scale, enterprise-level projects.

• Typically, at least 8+ years relevant experience for entry to this level.

Job Description

As the Global Supply Chain Data Scientist, you will develop and deploy analytics, automation, and predictive models that improve logistics cost, service, and operational scalability across the global network. You will lead cross‑functional digital initiatives from concept to rollout—translating logistics problems into data products (dashboards, models, alerts) and ensuring solutions are implemented, adopted, and sustained through strong project governance and change management.

Principle Duties/Responsibilities:

• Provide data-driven insights, dashboards, and scenario modeling to support logistics leaders and operations teams (warehouses, freight, distribution, service parts) in day-to-day and enterprise decision-making

• Build and maintain logistics KPI views covering warehouse performance, freight analytics, productivity, and operational health, with clear exception signals and root-cause paths

• Develop “control tower”-style analytics that enable early warning indicators (delays, backlog risk, capacity risk, throughput constraints).

• Drive automation and advanced analytics using Python, SQL, and BI tools to scale insight generation and reduce manual reporting effort.

• Create and maintain models for logistics use cases such as:

  • Throughput and productivity forecasting

  • Transportation analytics

  • Operational scenario planning / simulations aligned with the digital roadmap direction (e.g., scenario planning, “digital twins”)

• Drive continuous improvement in data quality, definitions, and metric reliability to ensure consistent decision making across regions/sites.

• Partner with supply chain & logistics SMEs and digital stakeholders to align analytics with standards, governance, and process maturity efforts

• Drive continuous improvement in supply and inventory analytics, data quality, and model reliability

• Drive automation and advanced analytics, leveraging Python, SQL, and BI tools to scale insights

• Partner with Supply Chain & Logistics to align analytics with standards, governance, and process maturity efforts

Qualifications

• Bachelor's or Master's Degree in Data Science, Statistics, Computer Science, or a related field.

• Typically, at least 8 years of experience in data science or equivalent work experience.

• PMP certification preferred, with proven experience managing large-scale, enterprise-level projects.

• Extensive knowledge in predictive modeling, machine learning, and statistical analysis.

• Proficiency in programming languages such as Python, R, or SQL.

• Experience with data visualization tools like Tableau, Power BI, Qlik, Spotfire or similar.

• Strong Analytical and problem-solving skills with the ability to interpret complex data.

• Excellent communication skills, both written and verbal, with the ability to present technical information to non-technical stakeholders.

• Ability to work independently and as part of a team in a fast-paced environment.

• Strong executive presence and leadership skills.

• Excellent communication skills, with the ability to effectively engage with different levels of management.

• Demonstrated ability to lead cross-functional work with strong program/project management discipline (planning, execution, stakeholder management).

Preferred Qualifications:

• Experience in supply planning and forecasting within a commercial setting.

• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.

• Knowledge of advanced machine learning techniques and frameworks.