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About the Role

As a leader in Data & Analytics projects, you will define project scopes, manage client expectations, and coordinate project teams. You will also contribute to the consulting strategy and leverage your understanding of modern data architectures to generate valuable insights from data.

Responsibilities

• Define project scope and manage expectations with clients and teams.
• Coordinate Data & Analytics projects and serve as the primary client contact.
• Lead and mentor team members, contributing to the consulting strategy.
• Understand and apply knowledge of Data & Analytics architectures (Data Warehouse, Data Lake, Data Lakehouse).
• Generate insights from data in collaboration with Data Architects, Data Engineers, and Data Scientists.
• Manage presales activities, tenders, and pitch preparation.

Requirements

• Completed degree in Computer Science or Business Informatics, or equivalent education.
• Practical experience in consulting is preferred.
• Familiarity with modern Data & Analytics architectures (Data Warehouse, Data Lake, Data Lakehouse).
• Enthusiasm for acquiring new knowledge in applications, technologies (Azure, AWS, Google Cloud), and tools.
• Ability to understand and translate business and technical requirements into viable solutions within the Data & Analytics domain.
• Experience in shaping consulting and project strategies.
• Proven project leadership skills demonstrated in multiple project situations.
• Customer-oriented approach and ability to inspire project teams.
• Strong skills in coordinating complex situations and moderating diverse stakeholders.
• Ability to represent Data & Analytics topics with conviction and enthusiasm.
• Proficient use of AI tools in your field, with critical evaluation of results.
• Support clients and colleagues in leveraging AI potential.

Skills

• Data & Analytics Architectures
• Data Warehouse
• Data Lake
• Data Lakehouse
• Azure
• AWS
• Google Cloud
• Project Management
• Consulting
• Strategy Development
• Communication
• Stakeholder Management
• AI Tools

Education Level

• Completed degree in Computer Science or Business Informatics, or equivalent education.