Engagement Manager

Dataiku is looking for an Engagement Manager to join the team. The ideal candidate is an energetic individual 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 DSS.

As a part of the Global Services team, the Engagement Manager is responsible for driving smooth client implementations of our product.

This position is open for full remote work from Riyadh, KSA. While all applications will be considered, priority will be given to Saudi nationals.

How you'll make an impact 

• 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 full development of data science projects for 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 and minimise the time-to-value for our customers

• Contribute to the standardisation of our implementation processes while Dataiku continues its rapid growth 

• Set up our customers for success using Dataiku DSS from day one

• Contribute to the selling of services in the region

Your skilled coordination of the deployment, training, and adoption of best practices will position our Customers and Partners to derive the maximum value from the software, contributing to their data-driven operational success.

What you'll need to be successful #LI-Onsite

• 3+ years of experience in advanced analytics, data science projects, or consulting

• English - fluent, Arabic - native

• Demonstrated project management skills including leadership, communication, and customer management (Experience providing customer training is a plus)

• Experience in project managing complex projects and difficult stakeholders

• An interest in staying current on the latest techniques (Python, R, Scala, Hadoop, Spark, H2O, SQL…)

• Experience in enterprise data projects and familiarity with advanced analytics technologies are a plus

• Ability to explain data science concepts.

• You must be technically-minded, but you don’t have to be an engineer to do well here

• Organised, process-oriented, and resourceful

• Bachelor’s degree required

• PMP certification or similar training is a plus