Sr Engagement Manager
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Job Location:
Monthly Salary:
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
Dataiku is The Universal AI Platform giving organizations control over their AI talent processes and technologies to unleash the creation of analytics models and agents. Providing no- low- and full-code capabilities Dataiku meets teams where they are today allowing them to begin building with AI using their existing skills and knowledge.
Dataiku is looking for a Senior Engagement Manager to lead strategic services engagements across Southern Europe primarily supporting Manufacturing & Energy customers.
This role goes beyond project management: you will act as a Deployment Strategist and Value Engineer owning the customers AI deployment roadmap shaping and prioritising their use case portfolio aligning executives on KPIs and ROI and ensuring measurable business impact and scalable adoption.
You will partner closely internally with Account Executives Customer Success Managers Technical Account Managers and Data Scientists to create a stable secure and scalable Dataiku platform while accelerating the path from idea to production to replication across several business units.
How Youll Make an Impact on our customers
1) Program management
- Own end-to-end project management for Dataiku services engagements (initial implementation use case development enablement governance etc.).
- Run program management for strategic accounts: orchestrate multiple workstreams (platform governance enablement use cases adoption) with clear milestones and executive-ready reporting.
- Ensure smooth collaboration across Dataiku (AE/CSM/SE/FE/DS/Partners) and customer teams.
- Drive predictable delivery across a complex portfolio with strong risk anticipation and scope control.
2) Use Case Roadmap
- Drive use case selection and prioritisation using value/feasibility criteria.
- Translate industry value chains (Manufacturing / Energy) into a use-case-driven roadmap (where AI/agents create measurable impact).
- Structure cross-BU replication (templates standards reusability industrialisation path).
3) Value Engineering: quantify value upfront prove it downstream
- Establish value hypotheses and success metrics early (KPIs ROI drivers adoption metrics).
- Track and communicate realised business value over time ensure learnings feed the roadmap and renewal/expansion narrative.
4) Executive alignment & customer leadership
- Align executive sponsors on goals trade-offs and progress; produce crisp exec-ready updates (SteerCo/QBR/QSR style).
- Become a trusted advisor for sponsors and key stakeholders: manage stakeholder dynamics push back when needed and keep scope/value stable despite shifting demands.
- Contribute to services scoping and commercial shaping in the region.
5) Practice Development Capitalisation & Continuous Improvement
- Contribute to our Professional Services practice scale by capturing patterns improving templates/playbooks and sharing learnings to accelerate delivery and make it more repeatable over time.
- Identify systemic blockers (TTV governance adoption) and help drive reusable fixes.
What Youll Need to Be Successful
- 8 years of experience in analytics/data / AI delivery consulting or complex enterprise programs.
- Proven ability to lead multi-stakeholder initiatives with exec presence and strong written communication.
- Organised process-oriented resourceful and highly motivated by a hands-on approach to customer management routinely interacting with customers and cross-functional teams
- Experience with value frameworks and driving adoption at scale.
- Understanding of deploying analytics/ML/GenAI solutions into real operations (governance run scaling patterns).
- Comfortable bridging business technical teams; able to translate between value chains and platform execution.
- Fluent English and French
Nice to have
- Experience in Manufacturing and/or Energy (operations supply chain asset management forecasting quality maintenance trading/risk etc.).
- Experience in high-growth SaaS and/or platform deployments.
- Exposure to agentic/LLM use cases and associated governance patterns.
What are you waiting for!
At Dataiku youll be part of a journey to shape the ever-evolving world of AI. Were not just building a product; were crafting the future of AI. If youre ready to make a significant impact in a company that values innovation collaboration and your personal growth we cant wait to welcome you to Dataiku! And if youd like to learn even more about working here you can visit our Dataiku LinkedIn page.
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 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. If you need assistance or an accommodation please contact us at:
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Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application Zoom we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity please review our page on identifying and reporting fraudulent activityhere.
Required Experience:
Manager
Key Skills
- Business Development
- Employee Orientation
- Public Health
- Account Management
- VersionOne
- Conflict Management
- Project Management
- Relationship Management
- Team Management
- Customer relationship management
- Human Resources
- Public Speaking
