Sr Engagement Manager

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance. The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog , LinkedIn , X , and YouTube . About the Role 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 and Value Architect , influencing the customer’s 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 You’ll Make an Impact on our customers 1) Program management Lead end-to-end project management for new customer implementations of Dataiku. Drive program management for strategic accounts by coordinating multiple workstreams, covering platform scaling, governance, enablement, use cases, and adoption, with clear milestones and executive-level 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). Facilitate cross-BU replication (templates, standards, reusability, industrialisation path). 3) Value Engineering Establish value hypotheses and success metrics early (KPIs, ROI drivers, adoption metrics) to quantify value upfront and then prove it downstream. Track and communicate realized 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 . 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 You’ll 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 (gov ... (truncated, view full listing at source)