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Arnaud PICHERY
VP Engineering at Dataiku
Professional Background
Arnaud Pichery is a highly skilled professional with extensive experience in project management, data science, and machine learning, specializing in back-end Java development and NoSQL databases. With a career spanning several leadership roles in the tech industry, Arnaud has built a reputation for excellence in overseeing complex engineering projects and fostering innovation within organizations.
Throughout his tenure, Arnaud has an impressive track record of transitioning through various roles, starting from an intern at Eiffel Software where he began to hone his software development skills, to becoming a Software Developer at Systar. His career trajectory reflects not just his technical prowess, but also his ability to manage and lead teams towards achieving challenging goals. At Systar, he progressed to Team Leader, Project Manager, and eventually, Innovation Project Manager, illustrating his knack for driving projects forward and enabling team success through effective leadership.
Arnaud’s impressive career further escalated as he took on the role of R&D Director and Engineering Management at Axway, where he played a crucial role in directing research and development strategies and managing teams to innovate and implement cutting-edge technology solutions. This experience was pivotal in enhancing his skills in project management and engineering, allowing him to effectively lead diverse teams toward innovation and technological advancement. From Axway, he transitioned to becoming VP of Engineering at Dataiku, a leading organization in the data science and machine learning space. Here, Arnaud was instrumental in shaping engineering processes and tapping into the potential of big data solutions, further cementing his expertise in data science and machine learning.
Education and Achievements
Arnaud Pichery proudly holds a Master’s degree in Informatique et Mathématiques appliquées from the prestigious ENSEEIHT, where he gained a solid foundation in both applied mathematics and computer science. His education not only equipped him with crucial technical skills but also provided him a strong analytical mindset necessary for success in the evolving tech landscape. Prior to this, he also studied at Hoche, adding a further layer to his educational background that shaped his academic understanding and groundwork for a successful career in technology.
Arnaud's commitment to continuous professional development and education underscores his belief that staying ahead in technology involves a perpetual learning process, which he has consistently demonstrated throughout his career. The knowledge and skills he acquired during his educational journey have undoubtedly guided him in successfully leading projects that center around complex engineering and innovative technology protocols.
Notable Achievements
Arnaud’s career is marked by a plethora of notable achievements. He has been foundational in leading projects that combine project management with cutting-edge technology, specifically in the realm of data science and machine learning. His role at Dataiku stands out, where he was responsible for advancing the engineering team’s capabilities while implementing effective strategies to streamline project workflows.
While at Axway, Arnaud led initiatives that spearheaded breakthrough solutions approaching engineering through an innovative lens, fostering a culture of creativity and technical excellence. His ability to manage and influence teams has been acknowledged within the organizations he has worked for, consistently being recognized for his leadership skills as well as his technical expertise.
In addition to his roles within various organizations, Arnaud's profound understanding of Java development and the implementation of NoSQL databases demonstrates a versatile skill set. His work across these areas not only highlights his diverse technical abilities but also his ongoing commitment to integrating advanced technologies to solve real-world problems. Each position he has held has contributed to his broader expertise in the tech industry, allowing him to be a proactive contributor to the future of technologies in data science and machine learning.
Achievements
