
Marketing is one of the main beneficiaries of artificial intelligence and data in businessâŻ
Predictive analytics, enhanced customer experience, personalisation, continuous adaptation of marketing strategy, and time savings. A hybrid role by definition, the AI marketing project manager initiates and supports the technological transformation of their field, whilst taking ethical and societal implications into account.
The AI marketing project manager (also known as an AI marketing manager) explores and harnesses the potential of artificial intelligence and data science to drive marketing forward. They define a strategy and prioritise innovations in line with business objectives, based on the context and an assessment of the benefits.
They select the data to be analysed, the most relevant market segments and the innovative tools to be implemented. To ensure a smooth technological transition in marketing, they raise staff awareness of technological challenges and provide training.
They foster collaboration across different departments, bringing together marketers and technology experts to ensure their interactions yield fruitful results. The AI Project Manager in Marketing oversees the implementation and roll-out of new AI solutions whilst adhering to budgets, deadlines, ethical standards and legal requirements.

Machine learning and deep learning, NLP/NLU, automation and data analysis are technologies that save time and boost efficiency in marketing, leading to gains in market share and customer loyalty.
Callbots, chatbots, recommendation marketing and product description translations optimise the customer/user experience (UX), reduce churn rates (customer loss) and boost sales through up-selling and cross-sellingâŠ
Extracting reviews and comments, real-time analysis of customer interactions, behavioural analysis, segmentation and predictive analytics: these refine marketing strategy, enabling the product and service offering to be tailored and marketing campaigns to be better targeted.
AI and data tailored to marketing are of interest to many sectors: banking, insurance, e-commerce, transport, healthcare, public institutionsâŠ

However, augmented marketing can also prove to be more sustainable, as algorithms work to ensure the relevance of the product or service offered aligns with customer expectations.
The challenge for AI in marketing is to move from over-consumption to sustainable and responsible consumption.
Experts such as AI lawyers or AI ethics officers play an essential supporting role in these areas.âŻ

An AI Manager in Marketing is a hybrid role that requires both extensive knowledge of market sciences and significant technological expertise. Proficiency in software, IT tools and AI/data systems is essential (deep learning and machine learning, IoT, NLP/NLU, data science, etc.).
This versatile project manager is familiar with various marketing roles (web marketer, research analyst, product manager, merchandiser, direct marketing manager, customer relations manager, etc.), as well as AI and data skills.
Fully bilingual and a natural people person, they know how to lead teams and manage projects whilst staying on course for continuous improvement and technological transformation. Precise, logical and organised, they bring people together, analyse situations and demonstrate great judgement. Always keeping a watchful eye on developments, he is capable of foresight and long-term vision.
By revolutionising marketing and its related professions, AI and data innovations are opening up significant business opportunities. The AI marketing project manager is a talented multi-tasker who knows how to balance technology, performance and ethics.
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