Responsible for collecting business requirements, co-design, develop process maps and roll out of HPE Operations Sustainability CO2 platform.
Data tools to measure, track the CO2 footprint of HPE Operations and support the data inputs gathering for calculating the CO2 footprint of HPE products and services.
Lead E2E data management, solutions requirements development and execution for Operations Sustainability data management efforts.
Collaborate closely with SMEs from Operations sustainability, digital transformation, Operations Engineering, Sourcing, Planning, Logistics, planning teams to drive carbon data management across all Sustainability workstreams.
Present solutions to senior management, indicating the roadmap, solutions or recommendations based on industry benchmark and various analysis of current data bases and driving improvements.
Requirements
7-10 years of proven track record in support of Operations, Engineering and IT Technology implementation.
Bachelor’s degree in engineering or supply chain with a focus in data science, process engineering and analytics.
Ability to translate business requirements into mathematical models and data science objectives to achieve measurable business outcomes.
Additional focus in Project Management preferred.
Strong knowledge of Supply Chain Management, sustainability on operational and tactical level.
Strong knowledge of process engineering and optimization.
Highly analytical with in-depth understanding of business, IT and process requirements.
Project Management and Implementation skills.
Solution Design experience a plus.
Excellent interpersonal, verbal, and written communications skills.
Self-motivated and a strong determination to succeed with minimal supervision.
A continuous improvement mindset for personal growth, internal processes, and innovation.
Ability to manage tight deadlines and deliver assignments on time.
Strong interpersonal skills and effectiveness in working across geographical boundaries.
Advanced knowledge of programming languages such as Python, SQL, R, SAS, Java, Unix Shell scripting.
Advanced knowledge of Hadoop framework desired.
In-depth knowledge of data visualization techniques and software tools (eg. Spotfire, SAS, R, Qlikview, Tableau, HTML5, D3)