AI Transformation & Value Lead

Danske Commodities; Aarhus; On-site; DKK 600,000 - 900,000; Full time

Benefits offered by this job

Harvard Learning access

Flexible work life

Up to 2 work from home days/week

HQ in Aarhus

Job summary

Danske Commodities is building its AI Enablement team to shape AI adoption and transformation across the company. You will work with senior stakeholders to identify high-impact AI opportunities and drive value from automation and process redesign within our energy trading context.

The role emphasizes analytical problem-solving, cross-functional collaboration, and pragmatic execution to deliver measurable business outcomes through AI-enabled ways of working.

Qualifications

• Hold a relevant educational background within business administration, innovation or similar.
• Have experience within business automation and transformation.
• Possess solid process analysis, modelling, and value stream mapping skills.
• Understand AI technologies and their business application.
• Have experience engaging with experts and senior stakeholders across the organisation.

Responsibilities

• Lead analysis and redesign of business processes to identify AI opportunities.
• Collaborate with business leaders to develop business cases and measure AI value.
• Facilitate workshops and process analysis across business and technology domains.
• Challenge workflows and identify AI-enabled improvements, simplifications, scalability.
• Support implementation and embedding of AI solutions with measurable outcomes.

Skills

Business automation

Transformation experience

Process analysis

Value stream mapping

AI technologies

Stakeholder engagement

Education

Business administration degree

Job description

Danske Commodities is building its AI Enablement team to shape AI adoption and transformation across the company. You will work with senior stakeholders to identify high-impact AI opportunities and drive value from automation and process redesign within our energy trading context.

The role emphasizes analytical problem-solving, cross-functional collaboration, and pragmatic execution to deliver measurable business outcomes through AI-enabled ways of working.