AI & Data Product Manager

At Hubvisory, we are looking for a Data & AI Product Manager to support our large enterprise clients in the design and development of products with high business value, at the intersection of Product Management, Data Analytics, and Artificial Intelligence.

Your role? Transforming data into concrete decisions and product opportunities, by bridging the gap between business, Data, and Tech teams.

You will be involved in various challenges: Product Analytics, performance monitoring, Business Intelligence, segmentation, personalization, automation, or AI use case development.

🎯 Your missions:

• Identify and frame Data & AI use cases with high business impact.

• Lead the Discovery phase by analyzing user needs, available data, and improvement opportunities.

• Define and track KPIs to measure product performance and guide decisions.

• Design and evolve Data Analytics products: dashboards, reporting tools, BI solutions, scoring, or decision support systems.

• Build and prioritize the product roadmap, in collaboration with Data Analysts, Data Engineers, Data Scientists, and Tech teams.

• Explore opportunities offered by AI (Machine Learning, Generative AI, automation, recommendations) to address concrete business needs.

• Support stakeholders in the adoption of solutions and measure their business impact.

The objective: to make Data and AI concrete levers for performance, innovation, and value creation.

• Experience: ideally 3 to 6 years of experience in Product Management, Data Product Management, Product Analytics, or managing Data/AI projects.

• Data Analytics Expertise: hands-on experience with products or projects related to data analysis, BI, reporting, performance measurement, segmentation, or scoring.

• Product Skills: mastery of Discovery, prioritization, roadmap, delivery, and KPI tracking.

• Data Culture: good understanding of databases, SQL, APIs, Data pipelines, Data Warehouse, or Data Lake, without needing to be a developer.

• Analytics Tools: familiarity with tools like Power BI, Tableau, Looker, Amplitude, Mixpanel, or GA4 is a plus.

• AI Culture: understanding of the main AI and Machine Learning use cases. Practical experience with an AI project is a plus.

• Business Orientation: ability to leverage data to identify opportunities, recommend actions, and measure the value created.

• Collaboration: ease of communication with technical teams, Data teams, and business stakeholders.

• Consultant Mindset: autonomy, analytical skills, synthesis ability, clear communication, and the aptitude to diplomatically challenge needs.

✨ What will make a difference:

Experience in designing or managing a Data Analytics product that has generated measurable business impact, as well as the ability to identify opportunities for AI utilization.

We are not necessarily looking for an AI technical expert, but a Product profile with a strong Analytics culture, capable of transforming data into business value.

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