At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI.
Interested in learning more about this job Scroll down and find out what skills, experience and educational qualifications are needed.The Enterprise Data & Analytics (ED&A) team is responsible for building and maintaining the Data and Analytics stack used by analysts across the whole company. On the Data side, this includes the Snowflake data warehouse, replicating source system data into Snowflake, Data Engineering, governance, and security. On the Analytics side, this includes building, cataloging, and documenting Single-Source-of-Truth (SSOT) datasets across multiple source systems and metrics, ownership of the calculation and reporting of key company metrics, and training and enabling analysts across the company in their use of the data platform.
This new role, reporting directly to the VP of ED&A, will add a third core responsibility to the team - development and support for Generative AI applications to support the whole of Dataiku. Building within the data platform maintained by the rest of the ED&A team, this role will:Gather requirements for GenAI applications from departments across DataikuBuild GenAI applications to solve real business problems and create measurable efficiencies in existing and new business processes in partnership with senior cross-functional stakeholdersBuild a team of highly technical ICs to develop these applicationsLaunch, document, maintain, and iterate these applications, working closely with the ED&A Data team to ensure the data platform is fit for purposeWork with the ED&A Analytics team to create a framework and process for maintaining metadata on reference datasets suitable for consumption by LLMsBe a key member of GenAI Steerco to put in place a process for company-wide development, especially focussed on internal policy, governance and regulatory adherenceWork with the Technology and Data Science teams to further advance Dataiku's GenAI capabilities, particularly from a user and developer experience standpointManage the migration of existing GenAI apps onto our centralized data platformProvide agile support to GenAI development across the company, including testing of new functionality before we provide to customersThe ideal candidate will have a strong technical background - this role will require hands-on development as well as team management - with many years' experience in internal-facing data and analytics, and experience successfully implementing GenAI solutions that drive measurable and meaningful operational improvement. Just as important will be excellent communication and business partnering skills, backed up by deep understanding of business processes.
At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you'd like to learn even more about working here, you can visit our Dataiku LinkedIn page.
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