Global Business Process Owner - Manufacturing Data Platform
Slough, Berkshire, GB, SL1 1DT
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingWe are looking for a Data Product Analyst/Global Business Process Owner - Manufacturing Data Platform to strengthen our Digital Manufacturing team and ensure that our digital solutions are built on a coherent, scalable and connected data foundation.
Define and document: master systems vs.
Support the design of practical, scalable data architecture
Ensure alignment between: operational systems, cloud platforms, analytics environments
From the employer’s posting
We are looking for a Data Product Analyst/Global Business Process Owner - Manufacturing Data Platform to strengthen our Digital Manufacturing team and ensure that our digital solutions are built on a coherent, scalable and connected data foundation. This role sits at the intersection of manufacturing, data, and digital platforms, with a strong focus on connecting systems, defining data structures, and enabling data‑driven decision-making across our global factory network. The role is critical in ensuring that Digital Manufacturing initiatives translate into consistent, reliable, and scalable solutions — enabling better operational decisions at site level.
Map and understand end‑to‑end data flows across: shopfloor systems (PLCs, SCADA), MES and operational systems, ERP (e.g. SAP), data platforms (e.g. Siemens on AWS) Define and document: master systems vs. slave systems, data ownership and responsibilities, points of inconsistency or redundancy 2. Data Architecture & Platform Enablement
2. Data Architecture & Platform Enablement Support the design of practical, scalable data architecture Ensure alignment between: operational systems, cloud platforms, analytics environments
Support the design of practical, scalable data architecture Ensure alignment between: operational systems, cloud platforms, analytics environments Work closely with IT to ensure that solutions are: technically robust, aligned with business needs
Tools in this posting
- Python
- AWS
- Azure
- SAP
- SQL
Source — Tool mentions in context
- Basic to solid proficiency in: - SQL, Python (or similar) - data modelling
1. Data Integration & System Understanding - Map and understand end‑to‑end data flows across: shopfloor systems (PLCs, SCADA), MES and operational systems, ERP (e.g. SAP), data platforms (e.g. Siemens on AWS) - Define and document: master systems vs. slave systems, data ownership and responsibilities, points of inconsistency or redundancy
- Ensure consistency across sites and use cases - Support integration into the Siemens data platform (AWS) environment 4. Support Digital Use Case Delivery
- digital or IT-enabled manufacturing environments - Experience with data platforms (e.g. Siemens, Azure, AWS) is a plus The skills for success
- Understanding of: - cloud environments (AWS desirable) - industrial systems (MES / SCADA / PLC concepts)
Benefits in the posting
Full benefits wording- With inclusion at the heart of everything we do, working alongside our four global Employee Resource Groups, we support our people at every step of their career journey, helping them to succeed in their own individual way. We invest in the wellbeing of our people through parental benefits, an Employee Assistance Program to promote mental health, and life insurance for all employees globally. We have a range of other benefits in line with the local market. Through our global share plans we offer the opportunity to save and share in Reckitt's potential future successes. For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results. You will be rewarded in line with Reckitt's pay for performance philosophy.
- Equality
- All qualified applicants will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship, and national origin; religion, faith; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law.
From the employer’s posting.
Job description
We are Reckitt
Supply
About the role
We are looking for a Data Product Analyst/Global Business Process Owner - Manufacturing Data Platform to strengthen our Digital Manufacturing team and ensure that our digital solutions are built on a coherent, scalable and connected data foundation. This role sits at the intersection of manufacturing, data, and digital platforms, with a strong focus on connecting systems, defining data structures, and enabling data‑driven decision-making across our global factory network. The role is critical in ensuring that Digital Manufacturing initiatives translate into consistent, reliable, and scalable solutions — enabling better operational decisions at site level.
Your responsibilities
1. Data Integration & System Understanding
- Map and understand end‑to‑end data flows across: shopfloor systems (PLCs, SCADA), MES and operational systems, ERP (e.g. SAP), data platforms (e.g. Siemens on AWS)
- Define and document: master systems vs. slave systems, data ownership and responsibilities, points of inconsistency or redundancy
2. Data Architecture & Platform Enablement
- Support the design of practical, scalable data architecture
- Ensure alignment between: operational systems, cloud platforms, analytics environments
- Work closely with IT to ensure that solutions are: technically robust, aligned with business needs
3. Connectivity & Data Standards
- Define and enforce: data connectivity standards, data ingestion logic, naming conventions and structuring principles
- Ensure consistency across sites and use cases
- Support integration into the Siemens data platform (AWS) environment
4. Support Digital Use Case Delivery
- Translate business use cases (e.g. performance management, predictive maintenance) into: data requirements, data models, system dependencies
- Work closely with: Digital Product Owners, site teams, IT&D
5. Transparency & Governance Support
- Provide visibility on: data dependencies, readiness and gaps, risks related to data availability
- Support the PMO with: structured inputs, data-related decision support
- Help ensure a single, consistent data logic across the programme
The experience we're looking for
- 2–5 years experience in:
- manufacturing / CPG environment
- data analytics / data engineering / industrial data
- Exposure to:
- supply chain processes (basic understanding)
- digital or IT-enabled manufacturing environments
- Experience with data platforms (e.g. Siemens, Azure, AWS) is a plus
The skills for success
- Degree in: Engineering, Data Science, Industrial IT or a related field
- Basic to solid proficiency in:
- SQL, Python (or similar)
- data modelling
- data pipelines / APIs
- Understanding of:
- cloud environments (AWS desirable)
- industrial systems (MES / SCADA / PLC concepts)
- System thinking: ability to connect data across systems and processes
- Structured approach: translates complexity into clear, usable models
- Pragmatism: focuses on practical solutions, not theory
- Communication: able to interact with:
- factory teams
- IT architects
- business stakeholders
- Curiosity & ownership mindset: strong drive to understand “how things really work”
What we offer
Equality
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on careers.reckitt.com. The employer’s form will show what is required.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Slough, Berkshire, GB, SL1 1DT
Working pattern and location restrictions need checking in the full posting.
- Work authorization
We recognise that in real life, great people don't always 'tick all the boxes'. That's why we hire for potential as well as experience. Even if you don't meet every point on the job description, if this role and our company feels like a good fit for you, we still want to hear from you. All qualified applicants will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship, and national origin; religion, faith; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law.
- Status in our records
- Active
- First seen by us
- Jun 21, 2026
- Recorded sightings
- 358
- Last seen by us
- Oct 9, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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