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

Who you are

Technically fluent

You have a strong technical foundation in AI & data and enough hands-on experience to understand system constraints, ask the right questions, and challenge engineering decisions constructively

Strategic thinker

You can zoom out to connect technical initiatives with broader business goals and long-term value

Highly organized

You bring structure to ambiguity, manage complexity effectively, and ensure consistent execution

Strong communicator

You can bridge technical and non-technical audiences with clarity and confidence

Pragmatic and delivery-focused:

You balance perfection with progress and keep teams moving forward

Stakeholder Collaboration & Communication

Proven ability to operate in cross-functional environments

Experience managing senior stakeholders and aligning diverse perspectives

Strong facilitation skills to lead workshops, steer discussions, and resolve conflicts

Excellent verbal and written communication skills, including executive-level reporting





Ability to influence without authority and build trust across technical and business teams

Technical & AI/ML Understanding

Strong technical foundation with the ability to challenge engineering decisions constructively

Solid understanding of the machine learning streams (data exploration, development, validation, deployment, monitoring) and AI project lifecycle requirements (PoC, MVP, production)

Familiarity with production AI challenges (data quality, model drift, scalability, latency)

Ability to translate complex technical trade-offs into clear business implications

Ability to connect model performance metrics to business KPIs

Product & Delivery Excellence

Proven track record of delivering AI/ML or data-driven products from prototype to production

Strong product mindset with the ability to define vision, value propositions, and success metrics

Experience prioritizing initiatives based on business impact and technical feasibility

Ability to manage ambiguity and drive execution in complex environments

Strong experience with Agile/Scrum methodologies, backlog management, and delivery cadence

Operational & Organizational Strength

Excellent organizational skills with strong attention to detail and follow-through

Ability to create structure in ambiguous, fast-paced environments

Experience managing timelines, dependencies, and risks across multiple workstreams

Ability to protect team focus while maintaining responsiveness to stakeholders

Experience establishing efficient processes that balance speed and quality

Contextual Plus

Experience: 3-4 years of experience in project management, 3-4 years of experience in AI.

Academic Background: Master’s degree or higher in Computer Science, AI, Data Science, or related field.

Domain Expertise (Preferred): Exposure to formulation, chemistry or the Fragrance & Flavor industry.

Languages: Full professional proficiency in English; French is strongly preferred.

📌 AI Project & Product Manager (Technical) (Barcelona)
🏢 Visium
📍 Barcelona