Logistics IT and Innovation team play a pivotal role in reshaping the future of logistics through Robotic Process Automation (RPA), Intelligent Process Automation (IPA), low-code development, Robotics & Industrial Automation and data analytics. As a part of your role, you will lead automation initiatives that drive operational efficiency, accuracy, and agility across logistics functions.
In this role, you will also contribute as a data steward, ensuring high-quality, reliable logistics data, and support the maintenance and evolution of digital tools. You ll work at the intersection of technology and operations, collaborating closely with stakeholders to deliver scalable, data-driven, and intelligent logistics solutions.
This is a unique opportunity to influence logistics transformation through technology, governance, and innovation.
Key Responsibilities:
1. RPA & IPA Implementation in Logistics:
- Lead the design, development, and deployment of Robotic Process Automation (RPA) and Intelligent Process Automation (IPA) solutions for logistics operations.
- Act as the Single Point of Contact (SPOC) for RPA at RBAI, coordinating across teams to identify automation opportunities, manage implementation roadmaps, and ensure compliance with global standards.
- Collaborate with process owners to streamline repetitive tasks and improve turnaround time, accuracy, and efficiency.
2. Low-Code Development:
- Develop and maintain digital logistics tools using low-code platforms to quickly respond to business needs.
- Translate business requirements into scalable, user-friendly applications that support logistics processes and reporting.
3. Data Analytics & Visualization:
- Use Power BI and other analytics tools to design dashboards, monitor key logistics KPIs, and enable data-driven decision-making.
- Provide actionable insights from large logistics datasets to support operational and strategic initiatives.
4. Logistics Data Stewardship:
- Ensure the integrity, accuracy, and consistency of logistics data across systems.
- Define data governance rules and support master data management for logistics processes and systems.
5. Technical Support & Software Maintenance:
- Provide technical support for logistics applications and tools, ensuring smooth operations, minimal downtime, and rapid issue resolution.
- Maintain and update existing software solutions in alignment with user feedback and changing business needs.
6. New Technology Implementation:
- Identify, evaluate, and pilot emerging technologies relevant to logistics, such as AI-based forecasting, digital twins, or predictive analytics.
- Lead the integration of new tools into existing systems with a focus on scalability, usability, and long‑term sustainability.
7. Project Management execution
- Handle complete project life cycle for Logistic innovation department from requirements detailing to handover.
- Qualifications: 5+ years Experience in Software development , Big Data Analytics
- Projects & Team managements skills