R&D Data management & analytics (Talent Pool) Procurement Manager LH PMO- VCI Nutrition SHE Site Lead

KwaZulu-Natal, Full Time

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.

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Skills: