HEAD OF AI
Key Responsibilities Include
- Accelerate adoption of AI across customer facing functions, ensuring scalable, ethical, secure, and high value solutions are deployed across regions and business units.
- Own the AI product roadmap for CX, including LLM implementations, GenAI copilots, conversational interfaces, recommendation engines, and AIdriven personalisation features.
- Build and unify customer analytics & AI capabilities, harmonising data models, behavioural datasets, and insight platforms into a cohesive global framework.
- Define and drive the AI strategy for CX, ensuring alignment with commercial, digital, and enterprise data strategies.
- Lead crossfunctional product teams to develop AIenabled solutions that enhance the customer journey across digital commerce, service, marketing, and sales.
- Stand up and manage a research & delivery partner ecosystem, including AI vendors, academic institutions, and innovation partners.
- Act as a strategic advisor to global commercial, digital, and data leadership on AI maturity, ethics, platform selection, and business impact.
- Collaborate with Salesforce product teams and related CX systems to ensure AI integration, scalability, and governance.
- Promote an agile product culture, embedding iterative delivery, experimentation, rapid value demonstration, and usercentric design.
Scope
This is a global leadership role, serving teams, markets, and platforms across Barry Callebaut's geographic footprint. Stakeholders are located across major hubs and regions.
Travel requirement: up to 25%
Education, Language, Skills & Qualifications
Education / Qualifications
- Graduate degree in technology, AI/ML, computer science, engineering, data, or a comparable field.
- Advanced degrees (MSc/PhD) in AI, ML, or related areas preferred.
Languages
Technical Skills & Expertise (Mandatory)
- Deep expertise in LLMs, generative AI, and modern AI product architectures.
- Strong experience with Azure, Databricks, and MLOps practices.
- Knowledge of Salesforce ecosystem and customer facing AI integration patterns.
- Proven ability to lead AI product development and agile product teams.
Industry Background (Required/Preferred)
- Food & Beverage
- Manufacturing
- FMCG
- AI/ML product companies (preferred for technical depth)
