AI Project & Product Manager (Technical)

Title: AI Project & Product Manager Client: Chemical Industry Location: Barcelona

About us 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.  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.

Role 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.

Responsibilities • Act as the primary interface between technical teams and business stakeholders, ensuring clear alignment on goals, scope, and priorities • Translate business needs into structured product and project requirements • Challenge and validate technical decisions to ensure feasibility, scalability, and business impact • Protect engineering teams from ad-hoc requests and scope creep, maintaining focus and delivery velocity • Own and manage the project “heartbeat” (planning, prioritization, resource management, progress tracking, and reporting) • Drive delivery for the entire AI product lifecycle (PoC, MVP, Production), ensuring robustness and scalability of AI solutions • Facilitate communication across cross-functional teams, including IT, Business and external stakeholders • Identify risks early and proactively manage dependencies and trade-offs • Ensure continuous alignment between product vision and execution