R&D Data management & analytics (Talent Pool) at Unilever

MAIN JOB PURPOSE:

• Lead On time in full (OTIF) Specification Delivery / Data Management as required to support Category innovation / Renovation / VIP / and Supply Chain (SC) support projects in Africa.
• Product Lifecyle Management (PLM) Super user and governance.
• Extend and grow our PLM and system capabilities.
• Partner with Global Data Quality teams to ensure regional compliance with data standards on PLM.
• Ensure R&D data transfer accuracy between PLM and SAP.
• Lead data trouble shooting and root cause analysis.
• Ensure successful R&D data transfer from Unilever to external customers.
• Data analytics and reporting.

JOB SUMMARY / RESPONSIBILITIES:

• Specification planning for specific innovation/VIP projects
• Creation and management of plant recipes in PLM
• Execution of agreed cross-functional specification management process
• Creation and maintenance of networks required to get right input into spec content: design, deploy, METs, technical management, SEAC, regulatory, brand development, brand building, suppliers, supply management, supply chain.
• Understand and implement specification data quality standards.
• Data Management – Responsible for the management of data related issues and resolution with key business partners locally and globally   
• Deploy and manage change impact of new global data / digital tools in Africa.
• Portfolio Data Life cycle management in line with global standards
• Optimise use of global digital tools in R&D
• Validate global digital tools for accuracy of information.
• Create new digital tools based on insights gained from category needs in Africa
• Monthly monitoring and reporting on Africa Data Management Metrics
• PLM Super user
• Represent relevant Business Group in Global Data Community of Practice (CoP) forums.

KEY REQUIREMENTS

• Relevant Science / IT / Data Science Degree
• Relationship Management
• Project Management
• Product development
• Analytical Basic Methodology
• Microbiology Basic Methodology
• Information Management
• Excellence in Science and technology
• Data Science / Analytics and reporting

Experiences:

• Understanding of product development processes
• Understanding of quality assurance and manufacturing processes
• Relevant exposure in safety clearance, regulatory affairs, HPC specific standards and environmental reporting
• Experience working with information technology.
• Ability to manage complex tasks and distill complex information into actionable plans, while maintaining precision and focus on detail.

Leadership behaviors:

• Solution-oriented mindset and ability to transfer this thinking across teams.
• Affinity with details and ability to see the bigger picture.
• Have a structured and consistent way of working.
• Show engagement and creativity.
• Effective networking with Africa and Global teams.
• Applied agility in managing projects.