About the Role
Role details below.
Responsibilities
- Actively serves a portfolio of assigned accounts, including some of the world’s leading organisations in manufacturing, energy and defence.
- Gain an understanding of the client’s use cases and desired business outcomes, and help a large number of licensed users achieve these goals via Dataiku's Product & Services.
- Help clients translate the business use cases they’re trying to crack into high ROI solutions.
- Partner with the Dataiku account teams (Engagement Managers, Technical Account Managers, Data Scientists and Sales Engineers) to ensure the success of your customers.
- Provide guidance to customer organisations on leveraging Dataiku to implement data science projects from design to production.
- Implement customer engagement strategies, including consistent Executive Business Reviews and account planning.
- Leverage Customer Health analytics to identify customer expansion opportunities & churn risks.
- Collaborate with Dataiku’s Sales team to expand customer relationships & ensure renewals.
Requirements
- Ease in speaking to stakeholders at all levels and various departments: from business executives to data scientists, analysts and IT.
- Strong verbal/written communication & presentation skills; extraordinary listening skills and proactivity.
- Strong knowledge of the data science project lifecycle and a proven record of supporting organisations in their AI maturity curve.
- Change management through major programs (onboarding, champion network, building centres of excellence)
Nice to Have
- At least 5-15 years of prior account management, customer success, consulting experience, preferably within enterprise software or data science.
Work Arrangement
Remote (City/Region)
Additional Information
- Position is based in Frankfurt, Germany.
- Role involves working with large enterprise accounts.
- Performance is measured by customer product adoption, expansion, and retention metrics.
- The Senior Customer Success Manager serves as the internal voice of the customer.
- Must be able to partner with cross-functional teams including Engagement Managers, Technical Account Managers, Data Scientists, and Sales Engineers.
