Maximize customer value through dedicated support, collaboration with product teams, and enhancing data product usability for strategic insights.
About Us
DataGalaxy is a leading data and AI product governance platform that enables organizations to connect strategy, product management, discovery, and business impact in a unified experience. The platform empowers cross-functional teams to collaboratively design, deliver, and scale trusted Data & AI products with measurable business value.
Founded in France in 2015 and rapidly expanding in the United States, DataGalaxy is trusted by over 200 global enterprises, including Dior, Airbus, and SwissLife. The company is committed to driving data culture and literacy by helping organisations operationalise data governance and unlock the full potential of their data assets.
Our values: Be intentional. Be clear. Be bold. Be humble.
The position of Data Governance Consultant at DataGalaxy involves proactive management of customer relationships, ensuring their satisfaction, and ongoing success. As Data Governance Consultant, you will work closely with customers to understand their needs, address issues, and maximize the value derived from DataGalaxy by providing advices.
Mission:
Profile:
Who you are:
DataGalaxy offers a number of advantages:
Flexible Work Hours
Flexible working hours ("forfait jour")
Free Meals & Snacks
Meal vouchers (Swile card of 9€/day)
Health Insurance
Health insurance Apicil covering you and your family
Team events
Quarterly team events and seminars
Remote-Friendly
Remote work at will & 2.70€ net per day worked from home
DataGalaxy builds a comprehensive data and AI product governance platform that helps organizations streamline metadata mapping, management, and knowledge sharing. We serve businesses looking to enhance their data governance and literacy, connecting strategy, product management, and business impact in one unified experience. What sets us apart is our intuitive interface and strong presence in the market, empowering over 200 clients globally to leverage their data effectively.
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