Portfolio management for large enterprise accounts in manufacturing, energy, and defense sectors. Deep knowledge of the data science lifecycle and 5-15 years of relevant experience required. Reasonable accommodations assistance, hybrid work model.
Requirements
Ease in speaking to stakeholders
5-15 years of relevant experience
Strong communication and presentation skills
Extraordinary listening skills and proactivity
Knowledge of data science lifecycle
Experience in AI maturity support
Change management through major programs
Tasks
Manage a portfolio of large enterprise accounts
Illustrate software and services value to stakeholders
Serve as the internal voice of the customer
Drive customer product adoption, expansion, and retention
Support leading organizations in manufacturing, energy, and defense
Understand client use cases and desired business outcomes
Help licensed users achieve goals via Dataiku
Translate business use cases into high ROI solutions
Partner with internal account and technical teams
Guide customers on implementing data science projects
Implement customer engagement strategies and account planning
Conduct consistent Executive Business Reviews
Leverage health analytics to identify expansion and churn
Collaborate with Sales on relationship expansion and renewals
Work Experience
5 - 15 years
EducationMore information about education requirement
Bachelor's degreeORMaster's degree
Languages
English – Business Fluent
Tools & Technologies
Enterprise software
Benefits
Ergonomic Workplace
•Reasonable accommodations assistance
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Dataiku and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Portfolio management for large enterprise accounts in manufacturing, energy, and defense sectors. Deep knowledge of the data science lifecycle and 5-15 years of relevant experience required. Reasonable accommodations assistance, hybrid work model.
Requirements
Ease in speaking to stakeholders
5-15 years of relevant experience
Strong communication and presentation skills
Extraordinary listening skills and proactivity
Knowledge of data science lifecycle
Experience in AI maturity support
Change management through major programs
Tasks
Manage a portfolio of large enterprise accounts
Illustrate software and services value to stakeholders
Serve as the internal voice of the customer
Drive customer product adoption, expansion, and retention
Support leading organizations in manufacturing, energy, and defense
Understand client use cases and desired business outcomes
Help licensed users achieve goals via Dataiku
Translate business use cases into high ROI solutions
Partner with internal account and technical teams
Guide customers on implementing data science projects
Implement customer engagement strategies and account planning
Conduct consistent Executive Business Reviews
Leverage health analytics to identify expansion and churn
Collaborate with Sales on relationship expansion and renewals
Work Experience
5 - 15 years
EducationMore information about education requirement
Bachelor's degreeORMaster's degree
Languages
English – Business Fluent
Tools & Technologies
Enterprise software
Benefits
Ergonomic Workplace
•Reasonable accommodations assistance
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Dataiku and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Dataiku
For Employers
Industry
IT
Description
Dataiku is The Universal AI Platform™ that empowers organizations to control their AI talent and processes, enabling the creation of analytics and models.