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Location : Belgium (Brussels, Antwerp, Ghent) Hybrid working
Job Type : Full-time
Industry : Consulting / Technology / AI
Experience Level : Mid-Senior
Languages : Fluent in English, Dutch or French is a plus
Job Summary:
We are seeking a Data & AI Strategy Consultant to join our clients dynamic team in Belgium. You will play a pivotal role in driving digital transformation for our clients by crafting and executing robust data and AI strategies. This position requires a deep understanding of how data can drive business value, strong knowledge of AI technologies, and the ability to bridge the gap between technical teams and business stakeholders.
As part of a leading technology consulting firm, you will work on high-impact projects across various industries, guiding organizations in leveraging data and AI to unlock new opportunities, improve efficiency, and enhance decision-making processes.
Key Responsibilities:
* Develop Data & AI Strategies : Collaborate with clients to design and implement data strategies aligned with their business goals, ensuring the integration of advanced analytics, machine learning, and AI technologies.
* AI Transformation : Lead AI maturity assessments and roadmap development to support businesses in their AI adoption journey.
* Data Governance & Architecture : Assist in designing scalable data architectures, ensuring proper data governance, quality control, and compliance with GDPR and local regulations.
* Stakeholder Management : Work closely with business leaders, IT teams, and data scientists to align technical solutions with business objectives, acting as a translator between technology and business.
* Project Leadership : Drive end-to-end execution of data and AI projects, from ideation to implementation, ensuring the delivery of high-quality solutions on time and within budget.
* Use Case Identification : Identify high-value use cases for AI applications, including predictive analytics, natural language processing, computer vision, and automation.
* Innovation & Trends : Stay ahead of AI, machine learning, and data trends, and provide thought leadership on emerging technologies and best practices in the AI field.
* Performance Metrics : Define KPIs and measure the business impact of data and AI initiatives, making recommendations for optimization.
Required Qualifications:
* Experience : Minimum 5 years of experience in data strategy, AI strategy, digital transformation, or a related field.
* Technical Skills :
o Strong understanding of data architectures, cloud platforms (AWS, Azure, GCP), and AI/ML tools and frameworks (e.g., TensorFlow, PyTorch).
o Familiarity with big data platforms such as Hadoop, Spark, and data visualization tools like Power BI or Tableau.
* Business Acumen : Proven experience in translating business needs into data and AI solutions, ideally across multiple industries (e.g., finance, retail, healthcare, manufacturing).
* Analytical Skills : Strong analytical mindset with experience in statistical analysis, predictive modeling, and data-driven decision-making.
* Communication : Excellent verbal and written communication skills, with the ability to present complex data-driven insights to non-technical stakeholders.
* Leadership : Proven leadership in managing cross-functional teams and driving complex AI projects.
Preferred Qualifications:
* Education : Master’s degree in Computer Science, Data Science, Business, or related fields.
* Certifications : Certifications in cloud platforms (AWS, Azure), data analytics (e.g., Certified Data Management Professional), or AI specialization.
* Multilingual : Fluency in Dutch and/or French is highly desirable in addition to English.
What We Offer:
* Competitive Salary : A market-competitive compensation package with benefits.
* Career Growth : Access to continuous learning and development opportunities, including certifications in the latest technologies.
* Innovative Environment : Work on cutting-edge AI projects in collaboration with industry leaders.
* Flexible Working : Hybrid working model (office and remote), with flexibility to accommodate work-life balance.
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