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Head of Data Management
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Job Title: Head of Data Management (Analytics, Science)
Location: Brussels (Hybrid)
Industry: Technology
About the Role:
We are seeking a Head of Data Management to lead our data strategy, governance, and innovation in Data Analytics, Data Science, and Artificial Intelligence (AI). This is a strategic leadership role that will drive data-driven decision-making and accelerate our AI initiatives in a fast-paced, technology-driven environment. An interest in AI is essential, as this will be one of our next big focus areas.
Exciting First Project:
As the new Head of Data Management, you will spearhead the development of our AI-Powered Customer Insights Platform. This initiative will leverage machine learning and advanced analytics to enhance user experiences, predict customer needs, and optimize business decisions. The platform will integrate real-time data streams from various sources, providing deep insights that drive personalized services and operational efficiencies. This project will be a cornerstone in our AI transformation journey, giving you the opportunity to shape a high-impact, strategic innovation from the ground up.
Key Responsibilities:
- Data Strategy & Governance: Develop and execute a company-wide data strategy, ensuring data integrity, security, and compliance.
- Data Analytics & Science Leadership: Oversee analytics and science teams to derive actionable insights that support business objectives.
- AI & Innovation: Spearhead AI-driven initiatives, ensuring integration of machine learning and advanced analytics into business operations.
- Data Architecture & Infrastructure: Ensure a scalable, efficient, and modern data ecosystem, leveraging cloud technologies.
- Stakeholder Engagement: Collaborate with C-level executives, product managers, and technology teams to embed data-centric decision-making across the organization.
- Team Leadership & Development: Build and mentor a high-performing team, fostering a data-driven culture and encouraging innovation.
Key Requirements:
- Experience: 10+ years in data management, analytics, or data science, with at least 3 years in a leadership role.
- Technical Expertise: Deep knowledge of SQL, Python, Power BI, data analytics, cloud platforms (AWS, Azure, GCP), machine learning, and AI frameworks.
- Leadership & Communication: Proven ability to influence stakeholders, drive strategy, and manage cross-functional teams.
- Industry Background: Experience in technology, SaaS, or digital transformation industries is a plus.
