Role : Enterprise Process Lead - Asset Management & Product Compliance
Location – Macc / Luton option – x 3 days on site x 2 remote – possible flexibility
Rates : £600/day Outside IR35
12 Months
As EPL, you will be accountable for transforming the Asset Management approach to ensure effective deployment of our SAP (S4/HANA) solution across our Internal Sites. You will lead a team of SMEs in the definition, design and ongoing improvement of the processes and tools to ensure efficient, effective and transparent ways of working. This will include all forms of Asset Management within the Global Operations Network, collaborating with existing Process Areas (such as Total Productive Maintenance) and partnering with External Providers where appropriate.
Essential Skills:
* Extensive experience of Asset Lifecycle Management processes and specifically SAP Plant Maintenance processes.
* Detailed understanding of Asset Management Master Data requirements
* Demonstrated ability to influence key Partner Groups across Multiple Locations and/or External Parties
* Demonstrated ability to successfully deliver Engineering and/or IT Change across Multiple Locations and/or Business Functions
* Strong Communication and Relationship Building skills with an ability to Influence others to achieve Objectives
* Ability to interpret and communicate technical information into Business language
* Similarly, the leadership capability/leadership acumen to provide leadership to the Product Compliance Team ensuring we deliver our SHE (safety, health and environment) requirements.
* Bachelor of Engineering/Science in an appropriate field
Essential Skills:
* Knowledge of SHE (safety, health and environment) requirements for to comply with Dangerous goods shipping and creation/maintenance of our Product safety data sheets.
* Experience of SHE Management processes including chemical regulatory controls/product safety processes; ideally experienced in SAP-EHS/Product Safety and Stewardship module or equivalent.
* Understanding of SHE Management Master Data requirements