Associate Engagement Manager, Dataiku

• Dataiku is looking for an Associate Engagement 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
• Have 0-1 years of experience leading cross-team and-or cross-functional projects
• Are organized, ambitious, and take ownership when relevant and delegate as needed
• Have a Bachelor’s in a STEM degree or Project Management program, Military experience, or equivalent years of experience in a related field
• Have an excellent understanding and practical experience with modern project management methodologies and software engineering processes
• Have excellent communication skills
• Can demonstrate familiarity with the concepts of managing portfolios - estimating, time management, prioritization, customer expectations
• Thrive in the building and iteration of efficient processes
• Can identify, manage, and mitigate risk, contingencies, reporting, and operations
• Can leverage lessons learned to feedback and improve process and best practices
• Can highly collaborate with partners, architects, consultants, third-party sellers, and customers

Desirable

• As a part of the Customer team, the Associate Engagement Manager is responsible for driving smooth client implementations of our product with our customer base
• 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
• Manage client relationship, needs, and oversee implementation services estimation, delivery, and controls
• Lead the service delivery team, managing conflict, and ensuring the team's processes and tasks are carried out efficiently
• Manage sizing, contracts, finances, and budgets while balancing costs and controls
• Assess customer feedback and refine products and service offerings with internal owners and providers
• Facilitate and guide discussions on the infrastructure sizing, positioning, and architectural implementation of capabilities with engineering and data science leads
• Prioritize and schedule work based on company KPIs and multiple team’s capacity and availability
• Iterate on and help evolve the product lifecycle workflow and capabilities and coordinate release coordination