About Sonepar
Sonepar is an independent family-owned company standing as the world leader in B-to-B distribution of electrical equipment, solutions, and services. In 2024, Sonepar achieved sales of €32.5 billion. Present in 40 countries with a dense network of brands, the Group is leading an ambitious transformation to make its customers’ lives easier providing them with an omnichannel experience and sustainable solutions in the building, industry, and energy markets.
Sonepar’s 46 000 associates are committed to accelerating the world’s electrification and driven by a shared Purpose: Powering Progress for Future Generations.
www.sonepar.com
Modelling Standards & Quality
- Enterprise-wide modelling standards, playbooks, and quality gates are clearly defined, adopted, and consistently enforced.
- AI-assisted and agentic capabilities are embedded into modelling practices to accelerate design, review, documentation, and quality control while preserving governance.
- Continuous, automated quality checks detect non-compliance, anti-patterns, and structural risks early in the lifecycle.
Domain & Architecture Alignment
- Domains and sub-domains are coherently designed and aligned with group data architecture principles and the global data roadmap.
- Modelling decisions explicitly address scalability, interoperability, performance, governance, cost (FinOps), and AI-readiness.
- AI-driven lineage and impact analysis are used to anticipate downstream effects of modelling decisions across platforms and domains.
Governance & Business Enablement
- Data models provide a shared business language, supported by a robust glossary, data dictionary, lineage, and semantic consistency.
- Modelling standards explicitly support AI and advanced analytics consumption, including semantic layers, feature reuse, and explainability requirements.
- Governance artefacts are actively used and kept up to date through automation and agent-based workflows.
Community Leadership & Design Authority
- A structured, active Data Modelling Practice is in place, with high-quality, consistent outputs across teams and geographies.
- A Design Authority effectively reviews critical models, balancing AI-assisted insights with human accountability and architectural judgment.
- Collective modelling maturity continuously improves through mentoring, reviews, and shared practices.
Tooling, Automation & Industrialization
- Tooling and automation industrialize modelling practices, improving delivery speed, traceability, and reliability.
- Agent-based workflows support schema management, version control, lineage inference, and documentation at scale.
- Data models are production-ready and reusable across countries, platforms, and AI-driven use cases.
The experience you bring:
Data Modelling & Architecture Expertise
- Deep expertise in conceptual, logical, and physical data modelling with a strong governance and quality mindset.
- Solid background in data architecture and enterprise architecture alignment in large, federated environments.
- Ability to design data models that are scalable, interoperable, and fit for analytics, operational, and AI-driven use cases.
AI, Agentic & Semantic Capabilities
- Hands-on experience using AI-augmented or agentic tools for modelling, documentation, lineage, or model validation.
- Strong understanding of semantic modelling, metadata management, and their role in enabling GenAI, feature stores, and autonomous data products.
- Ability to define clear guardrails for AI-assisted modelling, ensuring explainability, traceability, and accountability.
Standards, Methods & Governance
- Proven experience defining and deploying modelling standards, playbooks, reusable templates, and quality frameworks at scale.
- Strong command of governance artefacts using Purview (glossary, data dictionary, lineage) and their integration into delivery practices.
- Practical knowledge of responsible AI principles as they relate to data structure, lineage, and governance.
Leadership & Community Enablement
- Demonstrated experience leading or structuring a practice or design authority.
- Recognized mentoring and coaching capabilities, onboarding modellers and raising collective maturity.
- Ability to influence without direct authority in complex, international organizations.
Business & Stakeholder Alignment
- Strong ability to translate business concepts into shared data language and structured models.
- Proven track record acting as a bridge between business, data, architecture, and AI teams.
- Experience working with diverse stakeholders to align strategic ambitions with operational delivery.
Recruitment Process:
- Pre-screening Interview
- Interview with VP Data, AI and Analytics
- HR Interview
Work Mode & Location:
- Hybrid: 3 days in Paris (8ème) and 17ème, after the probation period
Benefits that await you:
The role - Your daily activities will be interesting, stimulating and varied... No two days are alike!
The organisation - You'll be part of the Sonepar family and share the same values!
The culture - You'll be working in an international environment.
The team - Our dynamic, multidisciplinary, open-minded and talented team is eager to welcome additional skills to continue to meet the challenge.
75% reimbursement of your monthly or annual transport pass.
Swile Ticket restaurant card
Gym exclusively reserved for the company and made available to employees free of charge.
Sustainable mobility package
Health insurance & Welfare
Employee Savings Plan & Profit Sharing Bonus.
We encourage you to apply even if your experience doesn't align perfectly with the job description. Don't hold back because you feel you don't tick every box. At Sonepar, we value your skills, your passion and if your career journey has had remarkable twists and turns, it only adds to your unique story. We ensure we create an inclusive environment where everyone feels welcomed and valued for their uniqueness. Regardless of physical abilities, office requirements, gender, sexual orientation, academic backgrounds or other diversity dimensions, every position at Sonepar is open to individuals who share our core values and engagements. We aim to ensure our job listings resonate with everyone and truly represent the diversity we embrace and we are proud to have the GEEIS Label (Gender Equality for European & International Standard) and to be partner of AGEFIPH (Association de Gestion du Fonds pour l’Insertion Professionnelle des Personnes Handicapées)
You are interested in this challenge? Then join and build a better future with us!
More information on Sonepar:
Website : www.sonepar.com
Twitter: @sonepar
LinkedIn: https://www.linkedin.com/company/sonepar/
