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