Clarity AI is a global tech company founded in 2017 committed to bringing societal impact to markets.
We leverage AI and machine learning technologies to provide investors, governments, companies, and consumers with the right data, methodologies, and tools to make more informed decisions.
We are now a team of more than 300 highly passionate individuals from all over the world, with offices in New York, Madrid, London, Paris, and Abu Dhabi.
Together, we have established Clarity AI as a leading sustainability tech company backed by investors and strategic partners such as BlackRock, SoftBank, and Deutsche Börse, who believe in us and share our goals.
We are dedicated to cultivating an exceptional workplace environment.We take pride in our culture, defined by our commitment to being fact-based, diverse, transparent, meritocratic, and flexible.
We have plans to continue growing our teams globally, so if you would like to join us on this rocket ship, keep reading!
Your work will shape and guide the sustainable decisions of investors, companies, and consumers worldwide.About The RoleWe are looking for a Data Research Associate Manager that will be responsible for leading a team of strong ESG associates and specialists.
Their knowledge on ESG Exposures and Controversies indicators, reporting standards and sustainability frameworks will ensure that we have the most accurate and reliable database to power better investments decisions for our customers.What You'll Be DoingAs a Data Research Associate Manager, you will be responsible for:Managing, mentoring, and leading a diverse team of Data Research Associates.Managing day-to-day data operations around ESG Exposures and Controversies.Coordinating the relationship and leading the communications with external data providers.Proposing and implementing data vendor management best practices, leading change and accelerating organizational transformations with existing vendors.Training on Exposures and Controversies indicators and sustainability frameworks to both external contractors and internal data analysts.Monitoring the performance of data analysts and associated budget through analytics and business intelligence solutions.Coordinating cross-functional initiatives, interacting with multiple professionals and departments (Business Development, Research, Data Science, Data Strategy) to proactively allocate resources and plan for the technical demands of any projects.Working collaboratively with the technical teams to facilitate the development of the most efficient collection tool - able to prioritize key features to accelerate the high-level data collection objectives.Keeping documentation up to date - internal documents for training, methodology maintenance, and productivity metrics monitoring.Continuously evaluating existing tools, processes, and solutions for scaling data collection and quality assurance processes.Performing ad hoc team projects as needed.
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