col-wideJob Description:
Solution Architect (f/m/d) Manufacturing & Product Ops
About the Role
LocationPortugal Porto Porto Remote vs. Office Hybrid (Remote/Office) Company Siemens Energy Unipessoal Lda. Organization EVP Global Functions Business Unit Digital Products and Solutions Full / Part time Full-time Experience Level Experienced ProfessionalA Snapshot of Your DayYou will be part of a team that is data driven and results focused, you will have a strong technical, analytical, and product background. As a Solution Architect you will analyze and evaluate the products to align to D&A's current and future needs through identify product performance opportunities.Passionate about the environment and climate change? Ready to be part of the future of the energy transition? The Siemens Energy Data Analytics & AI team plays a significant role in driving the energy transformation.Honestly, we don't have all the answers. Honestly, given the scale of the challenge we need many types of perspectives to help reimagine the future. And honestly, we can't do it alone.Our team is looking for innovative, enthusiastic, and versatile data, digital, and AI professionals that will drive us forward on this exciting venture.How You'll Make an ImpactPart of the global team and engagement in product and project management work and collaborate closely with other members of the product team to better understand the product, provide product insight and recommendations for improvement
Requirement to communicate the idea and then demonstrate the ability to mockup the design architecture as well as communicating this model whilst being aware of the requirements
Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand the products
Responsibility for building strong business relationships, understanding their needs and translating the requirements and having the ability to balance requirements of the business need with business value
Define and analyze metrics that inform the success of products and allow us to monitor the heath of D&A products adoption in the markets we serve
Influence and inform product teams through presentation of data-based recommendation through mock up design and IBCS
Keeping up to date of latest developments in data science principles, theories, and techniques to support the business in making truly data-driven decisions as well as document and share methods, processes, project results and regularly communicating and presenting the results
Join an inspiring team of real data science thought leaders and experts within the ED&AA global team and make a valuable contribution
What You BringBachelor's or Master's degree in Computer science, mathematics, engineering, physics or related and minimum 5 years' experience as a solution architect or comparable role
Longstanding hands-on experience working collaboratively with product team members such as product management, engineering, design, data science, data engineering or similar and experience of working directly with clients, translating their needs and building strong relationships
Excellent analytical skills and profound expertise in making data-driven decisions and communicating the results of analyses and knowledge in the application of statistics ( hypothesis testing, product experimentation, regressions, experimentation logic and biases) and experience in using statistical software (SAS, Pivot Tables) or related methods
Experience with product optimization work funnel/website optimization and/or outbound communication channels like email or push notifications and skills in programming language (Python, SQL etc).
Deep knowledge in AWS and experience in designing solutions that include AWS services, experience in an industry-related environment ( energy sector) is an advantage
Strong customer orientation, open-mindedness and willingness to learn, continuous development of own skills, excellent communication skills and ease of getting along in a global and multicultural environment
Result-driven and excellent interpersonal, communication, and collaborative skills as well as passionate about data and analytics, and driving data value across all parts of an organization and ecosystems
Fluency in both spoken and written English, knowledge of German or any other language is a plus
