
Reckitt Benckiser
Global Business Process Owner - Manufacturing Data Platform
NewonsiteSchiphol, the NetherlandsB2B SaaSPlatformInfrastructureAI/ML
Our Take
Drive manufacturing data platform vision for Reckitt's global supply chain, building data-driven operations.
What they’re looking for
- Industrial IoT (IIoT), IT/OT integration
- Industrial data platforms, databases, APIs
- Data products, analytics, scalable data solutions
- Manufacturing, FMCG/CPG experience
- Strong problem-solving, communication skills
What you get
- Parental benefits
- Employee Assistance Program
- Life insurance
- Global share plans
- Short-term incentives
- Pay for performance philosophy
Skills & Focus Areas
- Industrial IoT (IIoT)
- IT/OT integration
- manufacturing technologies
- industrial data platforms
- APIs
- Kafka/MQTT
- Databricks
- Azure Data Factory
As posted by Reckitt Benckiser
We are Reckitt
Home to the world's best loved and trusted hygiene, health, and nutrition brands. Our purpose defines why we exist: to protect, heal and nurture in the relentless pursuit of a cleaner, healthier world. We are a global team united by this purpose. Join us in our fight to make access to the highest quality hygiene, wellness, and nourishment a right and not a privilege.Supply
Our supply chain is the backbone of our business. It's how we get our trusted products to people all over the world, safely and efficiently. And it's our talented and passionate teams that make this happen. If you're looking for a career in supply chain, there's no better place to be than Reckitt. We offer a variety of exciting opportunities in all areas of the supply chain, from planning and procurement to manufacturing and logistics. You could join our Global Supply Planning team to develop and implement our global supply strategy, or work with our Procurement Centre of Excellence team to negotiate and manage our supplier relationships. Our Manufacturing Excellence team help us improve the efficiency, quality and safety of our manufacturing operations, and our Logistics Excellence team develop new and innovative ways to distribute our products to customers.About the role
This role is based in Reckitt ’s Supply – Manufacturing vertical and plays a key role in
establishing a data - driven manufacturing operations strategy through collaboration with but
not limited to engineering , manufacturing excellence and IT stakeholders .
Your responsibilities
- Shaping and driving the product vision and strategy in line with Supply business goals
- Leading a multi-year roadmap focused on high-impact digital and operational initiatives
- Identifying opportunities to deliver business value and supporting plants/categories with measurable benefits
- Establishing strong data and product standards across systems, processes, and lifecycle management
- Building engagement across regions by partnering with stakeholders, super users, and business teams
- Managing relationships with external technology and platform partners, including integration providers and automation vendors
- Supporting continuous improvement and innovation across manufacturing and supply operations
The experience we're looking for
- Strong understanding of Industrial IoT (IIoT), IT/OT integration, and manufacturing technologies
- Experience working with industrial data platforms, databases, APIs, and streaming technologies such as Kafka/MQTT
- Knowledge of data products, analytics, and scalable data solutions, ideally using tools like Databricks or Azure Data Factory
- Experience within manufacturing, FMCG/CPG, or high-speed production environments
- Strong problem-solving, communication, and stakeholder management skills
- Collaborative mindset with the ability to work effectively across cross-functional teams and adapt in a dynamic environmet
The skills for success
- Data-driven mindset with the ability to translate complex operational data into practical business solutions
- Strong collaboration and stakeholder management skills across technical and non-technical teams
- Analytical thinking and problem-solving capability within fast-paced manufacturing environments
- Adaptability and continuous learning approach in evolving digital, data, and industrial technology landscapes