What you'll do
The Bel Group is a major player in the food industry through portions of dairy, fruit and plant-based products, and one of the world leaders in branded cheeses. Its portfolio of differentiated and internationally recognized brands includes The Laughing Cow®, Kiri®, Babybel®, Boursin®, Pom'Potes® and GoGo squeeZ®, as well as some 30 local brands. Together, these brands helped the Group generate sales of €3.74 billion in 2024.
Do you want to join a company with strong brands that put consumers and responsibility at the heart of the decision-making process? Then Bel is made for you!
Are you bold, pragmatic, and determined? Do you want to contribute to the transformation of an international agri-food company? Then join us and measure the impact of your talent and energy in realizing an ambitious and sustainable company project!
#IWorkForAllForGood
As an international group known for the strength of its brands and its strong business culture, we place data and artificial intelligence at the heart of our performance and transformation strategy.
Within the Group Data & Analytics team, the Product Lead Growth is responsible for leading a portfolio of data products supporting Growth-related domains (RID, Marketing and Sales), in close collaboration with business and technical teams. The role reports to the Head of Analytics & Advanced Analytics Products and plays a key role in driving data-driven transformation across Growth activities.
Main Mission
The Product Lead Growth is responsible for managing a portfolio of data products from vision definition to delivery and adoption, ensuring alignment between business needs, technical constraints, and strategic objectives.
They act as a bridge between business stakeholders and data teams, maximizing the value delivered by data products.
Product Strategy & Roadmap
- Co-build, with Growth business teams (RID, Marketing, or Sales), a prioritized, value-driven roadmap
- Directly lead strategic projects
- Ensure alignment between : business needs, group strategy, technical constraints and budget considerations
- Challenge requests and arbitrate priorities based on business impact
- Oversee the execution of the product and project roadmap, managing the priorities
- Monitor product performance (value delivered, adoption, impact)
- Manage and track the budget associated with the Growth scope
- Provide regular reporting to the Head of Analytics & AA Products
- Manage 2 to 3 Product Owners, each covering multiple products/projects
- Support the team’s product and agile maturity
- Ensure proper execution of projects in terms of: timelines, quality and alignment with business needs
- Work closely with: Data Engineering, BI / Analytics / Development, Data Governance and IT
- Ensure smooth coordination between all stakeholders
- Act as a trusted partner to Growth business teams
- Develop a deep understanding of business challenges (RID, Marketing, Sales)
- Translate business needs into actionable data solutions
- Drive product adoption and promote a data-driven culture
- Proven experience in Product Management / Data / Analytics
- Strong experience in the FMCG / food industry preferred
- Expertise in at least one Growth domain: RID, Marketing or Sales
- Strong product mindset (vision, discovery, delivery, value management)
- Solid knowledge of Agile methodologies (Scrum)
- Ability to manage product roadmaps and portfolios
- Strong business acumen and value-driven mindset
- Good understanding of data environments:
- Excellent communication and interpersonal skills
- Ability to influence and align diverse stakeholders
- Strong leadership and people management capabilities
- Strategic mindset with strong execution focus
- Ability to navigate complex and matrixed environments
- Fluent English (mandatory)
- French is a plus
👉 Accelerate business value creation through data in Growth domains
👉 Structure and lead a high-impact data product portfolio
👉 Bridge strategy, business needs, and technology execution
Ready when you are
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About Growth Marketing roles
Growth marketers drive user acquisition, activation, and retention through data-driven experimentation. They sit at the intersection of product, data, and marketing — running A/B tests, building funnels, and scaling what works.