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Visium in Barcelona seeks an AI Project & Product Manager who bridges a high-velocity engineering team and senior business stakeholders. You will ensure AI initiatives are technically sound, business relevant, and operationally viable, reporting to the Head of Digital Transformation.
You will orchestrate delivery across PoC, MVP, and Production, engaging with Infrastructure, Architecture and Security to ensure robust AI solutions in a fast-paced environment.
At Visium, we partner with leading enterprises to define their AI & Data strategy, execute large-scale transformations, and integrate AI across operations, securing their organization’s future. Leveraging our expertise in strategy, cloud platform engineering, and artificial intelligence, we empower our clients to unlock and scale the power of their data.
Title: AI Project & Product Manager
Location: Barcelona
We are currently spearheading a major transformation for a client in the Flavor and Fragrance sector and are seeking exceptional talent to contribute to this impactful work. This is a unique opportunity to join our client’s team (as a direct employee of the client). You will shape the future of the organization, collaborating with senior leaders and cutting‑edge technologies to deliver AI‑driven innovation and tangible business impact.
As an AI Project & Product Manager, you are the connective tissue between a high‑velocity engineering team and key business stakeholders. You operate at the intersection of technology and business, ensuring that AI solutions are not only technically sound but also business relevant and operationally viable. You will report directly to the Head of Digital Transformation, working closely to ensure all AI initiatives are seamlessly integrated into the organization’s broader strategic roadmap.
You will focus on orchestrating delivery, aligning stakeholders, and maintaining a strong project cadence. While you won’t write code, you will actively engage in technical discussions with Infrastructure, Architecture and Security teams, challenge assumptions, and ensure that AI & Data engineering decisions are grounded in real‑world business needs.