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The world's leading irrigation company, is on a mission to combat the global challenges of food, water, and land scarcity through smart, sustainable solutions.
We are seeking a Business Analyst / Project Manager to join our global PRISMA Team, responsible for supporting and evolving production applications and manufacturing digital tools across all sites worldwide.
This is your opportunity to work with a team of big thinkers and action-takers, in a dynamic, global environment where innovation, impact, and personal growth are key drivers.
Role Overview:
In this role, you will be responsible for the end-to-end management of digital systems supporting our production environment. This includes full ownership of digital production floor processes, overseeing the development and implementation of change requests, and providing ongoing support and optimization of manufacturing systems.
Youll work closely with global stakeholders to identify needs, define system requirements, and lead implementation projects that enhance operational efficiency and drive business value.
Key Responsibilities
Lead and manage cross-functional OT digital projects from planning to execution, including stakeholder communication, change management, training, and go-live activities.
Analyze business needs by working closely with manufacturing, engineering, and IT teams, and translate them into functional and technical system requirements.
Manage and support manufacturing systems and digital tools, including MES platforms and production dashboards.
Provide ongoing system support, including issue resolution, enhancement implementation, and performance optimization.
Handle user support tickets: respond to requests, create tutorials and documentation, and maintain high service levels.
Collaborate with production sites, IT teams, and global operations teams to continuously improve digital capabilities.
Coordinate and oversee external vendor resources to ensure timely, high-quality project delivery.
Maintain comprehensive system documentation, including specifications, workflows, and user guides.
Why us?
We believe in impact with purpose. Youll be part of a global team that is not only technologically driven, but also deeply passionate about sustainability, innovation, and collaboration.
If youre ready to make a difference, join us!

Company Overview: our mission is to enable its global customers to protect and save lives by enhancing digital investigations and intelligence gathering to accelerate justice in communities around the world. Cellebrites AI-powered Digital Investigation Platform enables customers to lawfully access, collect, analyze and share digital evidence in legally sanctioned investigations while preserving data privacy. Thousands of public safety organizations, intelligence agencies and businesses rely on our company digital forensic and investigative solutions-available via cloud, on-premises and hybrid deployments-to close faster and safeguard communities.  Join our AI SaaS Team and take a pivotal role in shaping the next generation of forensic AI solutions. Youll design and build the infrastructure, tools, and pipelines that empower our researchers and data teams to innovate faster and smarter. In this role, youll work side-by-side with data scientists and AI researchers to transform ideas into reality integrating multi-modal data state-of-the-art Machine Learning models, and intuitive interfaces into scalable solutions. Youll also take ownership of AI/GenAI infrastructure and bring MLOps best practices into play, ensuring smooth data flows, efficient model training, and seamless deployments. This is your chance to bridge research and engineering, influence cutting-edge products, and deliver impactful forensic insights to investigators worldwide.
Key Responsibilities
* Develop and maintain AI/GenAI infrastructure: training environments, pipelines, and data Storage.
* Build scalable data pipelines for acquisition, transformation, and integration of multi-modal data.
* Support researchers by creating tools, visualizations, and prototypes for experiments and POCs.
* Collaborate with data scientists and engineers to operationalize AI models into our SaaS products.
* Design and maintain cloud-native MLOps solutions for scalable deployments.
Office Location:
Petah Tikva