Implementation Project Manager - Bilingual (Spanish and/or Portuguese)

Headquartered in New York City, Dataiku was founded in Paris in 2013 and achieved unicorn status in 2019. Now, more than 800 employees work across the globe in our offices and remotely. Backed by a renowned set of investors and partners including CapitalG, Tiger Global, and ICONIQ Growth, we’ve set out to build the future of AI.

Dataiku is looking for an Implementation Manager to join the team. The ideal candidate is an energetic individual who is passionate about deploying big data technologies and using data science to solve business problems, and who will efficiently help customers drive their projects to get the most out of Dataiku.

As a part of the Customer team, the Implementation Manager is responsible for driving smooth client implementations of our product. It requires skilled coordination of the deployment, training, and adoption of best practices, positioning users to derive the maximum value from the software, contributing to their data-driven operational success.

In this role, you'll help the team:

    • Effectively project-manage the delivery to our clients of Dataiku’s suite of professional services: such services include assisted software installation, customer training/coaching, and co-development of data science projects with our customers
    • Maintain consistent and concise internal communication across multiple teams
    • Build and maintain relationships with key partners, both within Dataiku and among our customers
    • Ensure customer satisfaction throughout the implementation process
    • Contribute to the standardization of our implementation processes while Dataiku continues our rapid growth
    • Set up our customers for success using Dataiku DSS from day one

You may be a good fit for this role if you have:

    • 7+ years of relevant software implementation and/or project management experience
    • Demonstrated implementation management skills including: leadership, communication, customer and time management
    • Organized, process-oriented, and resourceful
    • Ability to explain complex concepts to varying degrees of technical audiences
    • An interest in learning about and staying up-to-date on the latest data science techniques (Python, R, Scala, Hadoop, Spark, H2O, SQL…)
    • You must be technically-minded, but you don’t have to be an engineer to do well here
    • Bachelor’s degree required
    • PMP certification or similar training is a plus
    • Fluency in Spanish and/or Portuguese


About Dataiku:

Dataiku is the platform for Everyday AI, systemizing the use of data for exceptional business results. By making the use of data and AI an everyday behavior, Dataiku unlocks the creativity within individual employees to power collective success at companies of all sizes and across all industries. Don’t get us wrong: we are a tech company building software. Our culture is even pretty geeky! But our driving force is and will always remain people, starting with ours. We consider our employees to be our most precious asset, and we are committed to ensuring that each of them gets the most rewarding, enjoyable, and memorable work experience with us. Fly over to Instagram to learn more about our #dataikulife.

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 optimize 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.
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