Senior Management Consultant (Data and AI, Aarhus)

Aarhus, DK
Posted 19 hours ago
Consulting

About the role

Job summary

The role involves assisting organizations in establishing a robust data foundation for AI initiatives. As a senior member of the team, you will work closely with clients to develop data strategies, design modern data platforms, and implement effective data management practices.

Qualifications

  • Minimum of 5 years of relevant experience, preferably in client-facing consultancy or a senior in-house data position.
  • Expertise in data platforms, data strategy, and data management with a focus on enabling AI.
  • Familiarity with modern data stack technologies, including cloud data platforms and lakehouse architectures.
  • Strong facilitation skills for workshops and stakeholder alignment, with the ability to communicate complex topics clearly.
  • Relevant master's degree in fields such as Computer Science, Engineering, Economics, or Business.
  • Fluency in English; knowledge of Scandinavian languages is advantageous.
  • A collaborative and entrepreneurial mindset, with a focus on helping organizations adapt for future challenges.

Responsibilities

  • Develop data and AI strategies in collaboration with senior stakeholders, translating business goals into actionable plans.
  • Design and implement modern data platforms and architectures to support analytics and AI at scale.
  • Establish governance practices to ensure data quality and ownership.
  • Prepare clients for AI use cases by optimizing their data, architecture, and organizational readiness.
  • Oversee project delivery from strategy formulation to implementation, ensuring impactful outcomes for clients.
  • Contribute to business development leveraging consulting experience and a network in the Nordics.

Skills

  • Strong analytical and structured thinking capabilities.
  • Technical depth in data management and AI integration.
  • Excellent storytelling and communication skills for diverse audiences.

Education

  • Master's degree in a relevant field.

Tools

  • Familiarity with cloud data platforms and modern data architectures.
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