Network Resilience Management expert

3 weeks ago

United Kingdom DNV Germany Holding GmbH Full time

We help customers navigate the complex transition to a decarbonized and more sustainable energy future. We do this by assuring that energy systems work safely and effectively, using solutions that are increasingly digital. We also help industries and governments to navigate the many complex, interrelated transitions taking place globally and regionally, in the energy industry. Are you passionate about solar PV asset management and performance analysis? Are you thrilled by the idea of creating the next generation of data-driven digital solutions to manage, monitor, and control renewable assets? Do you thrive in the intersection of digital innovation and renewable energy? If so, come join us on this extraordinary journey and help DNV make the world safer, smarter, and greener.
As a Senior Asset Manager for Solar Innovation, your primary role is to design and code innovative algorithms that will add value to customers when managing Solar PV assets and portfolios. This includes creating new logics alongside improving and maintaining existing algorithms developed by DNV to estimate assets' life and performance degradation.
Building relationshipswith customers to discover market requirements and goals
Ensuringthat DNV’s Solar PV technology expertise flows into algorithms and eventually into software offerings
Transformingthe designed algorithms into Python code
Maintainingclose technical collaboration with the GPM software teams to integrate algorithms into products
Participatingin internal and external feedback sessions to ensure Solar PV specific algorithms are scalable and easy for broad implementation
Innovating and Improving GPM's offerings through clear communication and deployment of analytics solutions to our customer portfolio, actively involved in Key Account Management to ensure value delivery to key customers and partner
This is an exciting opportunity to establish robust internal and external professional networks. Our main remit is to create digital tools that enable our customers to optimize the way their assets operate; and leverage the potential of data analytics combined with the technical knowledge available in the wider cohort of DNV Energy Systems colleagues.
GreenPowerMonitor, a DNV company, is at the heart of the global energy transformation. We use data-driven digital solutions to optimize the performance of renewable energy installations around the world. Our working culture is based on respect for one another and the appreciation of work-life balance.
Experience a continuous individual development
DNV is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without regard to gender, religion, race, national or ethnic origin, cultural background, social group, disability, sexual orientation, gender identity, marital status, age or political opinion. Diversity is fundamental to our culture and we invite you to be part of this diversity.
Minimum Bachelor´s degree in Engineering or another relevant field
~5+ years of experience in the PV industry with a deep understanding of solar technology gained through asset management, performance analysis, and/or operations & maintenance (O&M) functions
~ Python coding skills
~ Experience in processing SCADA data in general or Solar PV data to create meaningful insights for asset owners and operators
~ Full professional proficiency in English and excellent communication skills to convey complex themes both internally and externally

As an individual, you excel as an analytical thinker, thriving in dynamic environments with flexibility and adaptability to consistently deliver timely results to customers. Your strength lies in building relationships, fostering trust, and instilling confidence. You maintain an unwavering commitment to safety, quality, and personal and professional integrity. Overall, you exhibit robust influencing and technical skills, coupled with a high level of resilience, recognizing that successful innovation often emerges from numerous short-term failures.

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