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A leading AI platform provider in France is seeking a VP of Industry Solutions to define and manage industry activities, engage with C-suite, and lead a diverse team. The ideal candidate will have over 20 years of experience in business process transformation and a strong background in Product Management. This is a remote-friendly position with travel expectations.
Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-code, low-code, and full‑code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.
Dataiku’s mission is big: allow all organizations to significantly accelerate their data AI ambition by empowering data and domain experts to effectively collaborate towards the delivery of AI impact. To further accelerate AI success on key industries and domains, Dataiku also provides a range of packaged use‑cases and domain‑specific capabilities based on a deep understanding of real business processes.
For most organizations, effective AI process augmentation is only getting started: the full potential of combining agents, machine learning, analytics and human intelligence to fully rethink activities is yet to be unlocked.
As we enter into the pivotal moment of AI for organizations, Dataiku is looking for a VP to lead its Industry Solutions activities. In this role, you will be in charge of (1) defining and managing all activities focused on accelerating Dataiku’s industry and domain penetration as well as (2) shaping and rolling out our strategy to deliver full process augmentation with AI. You will efficiently manage a team of seasoned Industry Experts and AI Solutions Consultants, structure customer engagement methodologies, run pilots to success, and work tightly with Solution Engineering and Product leads on roadmap implications.
What are you waiting for!
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!
Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimise across the many dimensions that are needed for our success. Therefore, we are proud to be an equal‑opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at reasonable‑accommodations@dataiku.com.
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Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video‑conference application, Zoom, we will also never ask you to make purchases or download third‑party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.
We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years.
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