Consumer Networks And Influence Expert Manager
GENEVA, CH, 1202
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Consumer Networks And Influence Expert Manager
The Consumer Networks and Influence Expert Manager maximizes the impact of connected consumer, social, and behavioral data on business decisions across HQ and Markets. The role advances network science expertise in nicotine, revealing how consumers, communities, brands, products, channels, and touchpoints are connected and translating these relationships into actionable guidance for growth, innovation, brand, portfolio, and activation decisions. The position serves as the organization’s center of excellence for network science.
Position:
As the Consumer Networks and Influence Expert Manager, you will:
- Develop network science frameworks, methods, standards, and best practices for consumer and business applications
- Identify, evaluate, and pilot emerging approaches, including dynamic networks, graph machine learning, knowledge graphs, and artificial intelligence-enabled network analytics
- Design, oversee, and execute network science studies across consumer, brand, product, channel, touchpoint, and market data
- Ensure robust network construction, analysis, validation, visualization, and interpretation, with appropriate data quality, privacy, and ethical safeguards
- Reveal communities, influential actors, bridges, relationships, pathways, and diffusion patterns that traditional analysis may not identify
- Translate network evidence into actionable guidance for growth, innovation, brand, portfolio, activation, advocacy, and consumer experience decisions
- Serve as a subject matter expert on network science, graph analytics, and connected-system thinking across HQ and Markets
- Provide expert guidance, coaching, tools, and capability development to strengthen the quality and adoption of network-based insights
- Build and maintain a network of leading academics, specialist partners, technology providers, and cross-industry network science experts
- Leverage external expertise, benchmarks, datasets, emerging methods, and best practices to strengthen network science capability
Requirements:
- University degree in Network Science, Data Science, Statistics, Applied Mathematics, Computer Science, Computational Social Science, Sociology, Econometrics, Physics, or a related quantitative discipline
- Advanced degree such as a Master’s, PhD, or equivalent is preferred
- Minimum 10 years of relevant experience in network science, graph analytics, data science, consumer analytics, social listening, digital analytics, or consulting, including substantial experience applying network methods to complex, multi-source, real-world data and translating findings into business decisions
- Expertise in network science and graph analytics, including network construction, centrality, community detection, link prediction, diffusion and contagion modelling, influence analysis, dynamic and multilayer networks, and network visualization
- Strong capability in Python or R, graph databases and tools, data integration, model validation, and privacy-conscious analytics
- Ability to translate complex relational patterns into clear, commercially relevant recommendations
- Fluent English with strong written and verbal communication skills
- An international and diverse working environment
- Opportunities for professional development and continuous learning
- Exposure to global projects and collaboration across Headquarters and Markets
- The opportunity to work with leading experts and external partners
- A role with significant scope to shape network science capabilities and ways of working across the organization
Are you ready to join us? Build your success story at JTI. Apply now!
Next Steps:
After applying, if selected, please anticipate the following within 1-3 weeks of the job posting closure: Phone screening with Talent Advisor > Assessment tests > Interviews > Offer. Each step is eliminatory and may vary by role type.
At JTI, we strive to create a diverse and inclusive work environment. As an equal-opportunity employer, we welcome applicants from all backgrounds. If you need any specific support, alternative formats, or have other access requirements, please let us know.