Consultant Digital Marketing
keyrusbelgium
| Company | keyrusbelgium |
| Category | Marketing |
| Location | — |
| Remote | — |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 7 Oct 2021 |
| Last verified | 9 Aug 2026 |
| Source | Employer ATS (teamtailor) |
Description
Why Keyrus, Why Now! Keyrus is an international group of 2,800 consultants and experts across 28 countries , built on a single conviction: AI does not transform businesses. Architected intelligence does. For more than 30 years, we have been building the data foundations that make intelligent systems work — designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalise intelligence. AI does not replace humans. It repositions us to a place no system can follow: understanding, deciding, designing, and creating. At Keyrus, you will not just develop skills - you will develop judgment. Your expertise sharpens with every system you architect, every client challenge you solve, every deployment that compounds on the last. Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges data, AI, and human decision-making at scale, across industries and geographies. This is not a role you fill. It is a discipline you master and a story you help write to become a Keyrus Architect of Intelligence. Technology amplifies. Keyrus culture differentiates . Industrial discipline connects the two. What You'll Architect This role connects marketing, data, and technology. You design systems that turn customer data into targeted, scalable, and measurable marketing performance. Translate business challenges into data-driven, multi-channel marketing solutions Design and optimise cross-channel engagement strategies across platforms such as Adobe, Google, Salesforce, or Selligent Analyse customer journeys and marketing processes to improve targeting, performance, and personalization Extract insights from data and translate them into actionable marketing tactics Build and maintain cross-channel dashboards to steer marketing performance with analytics teams Accelerate campaign delivery through automation and integration of marketing platforms Plan and manage acquisition campaigns across online and offline channels to drive growth Facilitate discussions with stakeholders to evaluate tools, vendors, and platform capabilities Contribute to building scalable marketing ecosystems combining operational and analytical capabilities Drive continuous optimisation through experimentation (e.g., A/B testing) and performance tracking Who You Are You understand that modern marketing is a system — not just campaigns, but data, platforms, and decision loops You combine analytical thinking with a strong understanding of customer engagement You move comfortably between strategy, execution, and optimisation You are able to translate data into actions that improve marketing performance You bring structure to complex, cross-channel environments You are curious about technology and how it enables better marketing decisions You collaborate naturally with marketing, data, and technology stakeholders You contribute to a culture of continuous learning and improvement What You Bring Qualifications / Experience Bachelor’s or Master’s degree in Marketing or a related field 3+ years of experience in Digital Marketing, Marketing Automation, or related domains Experience in areas such as e-commerce, online advertising, or direct response marketing Professional working proficiency in Dutch and English Technical & Functional Skills Experience with marketing platforms (Adobe, Google, Salesforce, Selligent) Familiarity with Data Management Platforms (e.g., Adobe Audience Manager) and marketing ecosystems Experience with digital analytics tools (Google Analytics, Adobe Analytics) Knowledge of multi-channel campaign management and optimisation Understanding of marketing experimentation techniques (e.g., A/B testing) Basic understanding of statistical or machine learning concepts applied to ma