Sara Guerreiro De Sousa
About Sara Guerreiro De Sousa
Sara Guerreiro De Sousa is an Innovation Product Manager currently working at Unbabel and serves as the Responsible AI Product Lead at the Center for Responsible AI. With a background in data science and a focus on ethical AI, she has held various roles in organizations such as Social Finance and Feedzai, and has experience in product design and technology development.
Current Role at Unbabel
Sara Guerreiro De Sousa serves as the Innovation Product Manager at Unbabel since 2023. In this role, she focuses on integrating innovative approaches within product development, ensuring that the solutions align with the company's mission. Her work involves collaborating with cross-functional teams to enhance user experience and drive product strategy.
Current Role at Center for Responsible AI
In addition to her position at Unbabel, Sara also holds the title of Responsible AI Product Lead at the Center for Responsible AI since 2023. She emphasizes the importance of ethical considerations in AI product development, working to ensure that AI technologies are designed with societal benefits in mind.
Previous Experience at Social Finance
Sara has extensive experience at Social Finance, where she worked in various roles from 2016 to 2021. She started as a Data Analyst and progressed to Senior Data Analyst, Data & Insights Associate, and finally Data & Insights Manager. Her work involved analyzing data to inform social impact strategies and drive insights for decision-making.
Educational Background
Sara holds a Master's degree in Finance from Nova School of Business and Economics, which she completed from 2014 to 2015. She also earned a Bachelor's degree in Applied Mathematics and Computation from Instituto Superior Técnico, studying from 2010 to 2014. This strong academic foundation supports her expertise in data analysis and product management.
Focus on Ethical AI and Social Impact
Sara has a strong commitment to ethical AI, focusing on the responsible development of AI products. She leads initiatives that leverage data science for social good, emphasizing the intersection of technology and societal benefit. Her projects aim to create transformative solutions that prioritize ethical considerations in AI applications.