Portfolio Manager – Data & AI
Workplace: Stockholm, Sweden
Expires: November 6, 2025
We at Future People are seeking a Portfolio Manager – Data & AI to our client in the fashion industry in central Stockholm. As a consultant with us, you will have the opportunity for an exciting assignment with one of our clients while continuing to develop your competence area. We highly value your well-being both with us and in your assignment. You will be an important and appreciated person, both as an employee and as a colleague. Take the next step in your career and develop together with us! Do you want to help drive the development of Data and AI initiatives that make a real difference in the business? We are looking for a structured and strategic Portfolio Manager to lead and optimize our portfolio of data-driven programs and solutions. About the role: As Portfolio Manager, you will be responsible for maintaining and developing our Data & AI portfolio. You will work cross-functionally with everything from product development and program delivery to steering and prioritization. Your assignment is to create structure, clarity, and impact – always with business value in focus.
Main requirements:
- Minimum 4 years of experience in portfolio management, preferably focused on Data & AI
- Documented experience leading complex projects and programs
- Ability to create structure and prioritize strategically
- Collaborative personality with strong communication skills
- Fluent in English (spoken and written)
Responsibilities:
- Ensure governance, follow-up, and reporting of the Data & AI portfolio
- Identify and raise risks, dependencies, and potential obstacles
- Develop and maintain forums, processes, tools, and methods for efficient portfolio management
- Support Data & AI programs in delivering according to strategic goals
Required hard skills:
- Portfolio management
- Program and project leadership
- Strategic prioritization
- Reporting and risk management
Recommended hard skills:
- Knowledge of Data & AI initiatives
- Experience with cross-functional collaboration tools
Soft skills:
- Prestige-free and engaged
- Strong drive and initiative
- Outgoing and trustworthy communication
- Good collaboration skills
Natural languages:
- English (Proficient)
Cultural skills:
- Engagement
- Collaboration
- Clear communication
- Diversity and inclusion
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