(Re-advertisement) Consultancy, Supply Chain AI Specialist, Supply Chain Management Unit (SCMU), Copenhagen, Denmark
On-siteCopenhagen, Capital Region, Denmark
Job Summary
Design and develop AI-enabled analytical capabilities within the UNFPA Supply Chain Control Tower, including natural language query interfaces, automated insights, and predictive models for risk detection. Integrate these tools with existing data pipelines and dashboards to support procurement, shipping, and inventory management workflows. Collaborate with SCMU functional teams and IT Solutions Office to translate operational needs into technical solutions and build internal capacity through training and documentation. Deliver prototypes demonstrating practical value for supply chain decision support, ensuring alignment with UNFPA data governance and security frameworks. Work full-time on-site for 11 months, with schedules aligned to Control Tower development phases.
Required Qualifications
- An advanced university degree (Master's degree or equivalent) in Data Science, Artificial Intelligence, Computer Science, Information Systems, Supply Chain Analytics, or a related field
- A first-level university degree (Bachelor's degree or equivalent), combined with additional years of relevant professional experience
- A minimum of five (5) years of progressively responsible experience in artificial intelligence or machine learning applications, data analytics and data engineering, development of AI-enabled analytical tools, data architecture and cloud-based data environments, development of analytical models and data-driven applications or related areas
- Experience applying AI within operational or supply chain environments
- Knowledge of data governance, responsible AI, and information security principles
- Experience in designing and maintaining data pipelines and working within cloud-based data environments
- Proven ability to integrate APIs and manage data across diverse platforms
- Proficiency in analytical tools such as Power BI, Python, or similar environments
- Demonstrated experience handling and analyzing large-scale operational datasets
- Fluency in English
- Working knowledge of any other UN official language
- Exemplifying integrity
- Demonstrating commitment to UNFPA and the UN system
- Embracing cultural diversity
- Embracing change
- Achieving results
- Being accountable
- Developing and applying professional expertise/business acumen
- Thinking analytically and strategically
- Working in teams/managing ourselves and our relationships
- Strong analytical and problem-solving capabilities
- Ability to translate operational needs into technical solutions
- Ability to collaborate across technical and operational teams
- Strong communication skills for explaining analytical solutions to non-technical stakeholders
- Collaborative working style within multidisciplinary teams
- Services delivered monthly on site
- Total duration of 11 months
Desired Qualifications
- Experience applying AI within operational or supply chain environments is highly desirable
- Knowledge of data governance, responsible AI, and information security principles is desirable
- Experience required in designing and maintaining data pipelines and working within cloud-based data environments
- Proven ability to integrate APIs and manage data across diverse platforms
- Proficiency in analytical tools such as Power BI, Python, or similar environments is essential
- Demonstrated experience handling and analyzing large-scale operational datasets
- Working knowledge of any other UN official language is an asset
- Experience applying AI within operational or supply chain environments is highly desirable
- Knowledge of data governance, responsible AI, and information security principles is desirable
- Experience required in designing and maintaining data pipelines and working within cloud-based data environments
- Proven ability to integrate APIs and manage data across diverse platforms
- Proficiency in analytical tools such as Power BI, Python, or similar environments is essential
- Demonstrated experience handling and analyzing large-scale operational datasets
- Working knowledge of any other UN official language is an asset
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