Sr Engagement Manager

📋 Description

• 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.
• Partner closely with internal teams to create a stable, secure Dataiku platform, accelerating path from idea to production to replication across several business units.

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).

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.

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.

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 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.
• 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; translate between value chains and platform execution; Fluent English and French.
• Experience in Manufacturing and/or Energy (operations, supply chain, asset management).