Top Tech Jobs & Startup Jobs in Dublin

Leads the global Digital Twin and Scalable Content service portfolio, including operating model, governance, roadmap, automation, platform integration, partner performance, resource allocation, and measurable delivery outcomes. Drives adoption and cross-functional implementation across marketing, product data, packaging, digital technology, operating units, bottling partners, and external providers. Oversees scalable content workflows, digital asset quality, service levels, commercial planning, risk management, continuous improvement, and capability development.

Translates business needs into AI and data use cases, requirements, user stories, process flows, and delivery plans. Partners with Product, Data Science, Data Engineering, Architecture, and AI teams to assess data readiness, technical dependencies, risks, and value. Supports testing, validation, adoption, responsible AI practices, and measurable business outcomes while connecting technical teams with business users.

Support Europe-focused data science, decision science, and AI use cases by preparing and analyzing data, building and evaluating models, applying AI-assisted workflows, and translating findings into business insights. Collaborate with data, product, engineering, governance, and business teams while maintaining responsible AI practices, reproducibility, documentation, and quality standards.

Leads data science, decision science, and AI strategy across Europe, identifying high-value use cases and scaling analytical products into measurable business outcomes. Establishes standards for experimentation, model governance, responsible AI, deployment, and lifecycle management. Builds and leads a regional data science capability, manages budgets and resources, partners with global and local teams, and ensures solutions reflect diverse European markets, data environments, and business contexts.

Develops and delivers advanced analytics supporting global category performance, innovation strategies, business planning, and long-term roadmaps. Creates reports, identifies trends, translates data into recommendations, and applies AI and automation to scale analytics delivery. Partners with category, marketing, innovation, commercial, and strategy teams to drive adoption, improve tools, embed consumer and competitive insights, and support data-driven decision-making across a global organization.