International Breweries Plc - Our Dream is to bring people together for a better world. Beer, the original social network, has been bringing people together for thousands of years. We are committed to building great brands that stand the test of time and to brewing the best beers using the finest natural ingredients.
Our diverse portfolio of well over 400 beer brands includes global brands Budweiser, Corona and Stella Artois; multi-country brands Beck’s, Castle, Castle Lite, Hoegaarden, and Leffe; and local champions such as Aguila, Bud Light, Jupiler, Klinskoye, Modelo Especial, Quilmes, Skol, and Victoria.
The key purpose of this role is to systemically improve Filler equipment's reliability across the BU and optimize maintenance costs in order to achieve the Departmental Dream, by working with Zone Technical Experts, Vendor Technical Experts and brewery personnel.
Key Outputs and Responsibilities
Maintain a safe, healthy and risk-free working environment for Fillers
Provide equipment that is safe to operate, compliant to environmental requirements and can delivery products that meet the required quality requirements & standards
Support and coaching of artisans and operators to achieve 100% Uptime, develop their SKAP, Zero Safety incidents, Zero Quality incidents, VIC usages like water, energy etc. in control
Must understand VPO, how the pillars are interconnected and support the journey to world class operations
Drive the implementation of Autonomous Operations through hands-on execution of each of the steps
Equipment restored to an "as new" condition, in which initial deterioration is eliminated or controlled
Provides a stable platform from which natural deterioration linked failures can be appropriately addressed with preventive and predictive maintenance activities
Use data driven techniques to sustain and drive systemic improvements in equipment reliability for selected machine group by developing, improving and optimizing preventive and predictive maintenance plans
Optimized maintenance costs, medium- and long-term plans and spare parts holding to achieve the agreed ZBB Budget
Use data driven techniques to identify, develop, train and assess technical skills interventions to improve skills related performance gaps
Improved equipment performance as a result of improved technical skills of relevant personnel
Codification of technical knowledge through SOP's and SWI's
Actively participate in problem solving (5 Why reviews, Abnormality Reports and PDCA/ITF's) to provide deep technical knowledge to ensure correct root cause identification and that suitable preventive measures are identified and implemented
Improved equipment performance through effective implementation of preventive measures & machine audits
Manage machine related projects for selected machine group to improve overall performance (reliability, quality and cost) as agreed with Pack Engineer or ZTE
Project completion on time, within budget and according to agreed specification
ZBB Maintenance budget compliance for selected machine group
Collaboration with ZTE's, Vendor's and Reverse Engineering Specialist to deliver KPI’s.
Requirements
Minimum Education:
HND / B.ENG (Mechanical, Electrical or equivalent)
Desirable Education:
Bachelors Degree (Mechanical, Electrical or equivalent)
Additional business qualification advantageous
Belt qualification
Experience:
2-3 Years in similar FMCG industry as controller / supervisor / senior technician
Technical expertise on Filler machines
A motivated individual with high levels of resilience and the ability to operate in a high-pressure environment
Highly developed analytical skills with excellent problem-solving capability
Attention to detail and commitment to quality is non-negotiable
Excellent interpersonal skills, with demonstrated ability to interact and influence at all levels of the organization
Proven leadership and management capability
Excellent planning and organizational skills
An Innovative thinker, persuasive, assertive and a good negotiator
Ability to set high standards and bring team along to achieve the standard expectation.