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IFSPosted 1 week ago

Senior Product Portfolio Analyst

HybridStockholm, Stockholm, Sweden

Full TimeSenior LevelLargeInformation Technology And Services

Job Summary

Turn portfolio data, initiative context, and business signals into self-serve insights and decision tools that enable product leaders to prioritize investments and sequence initiatives effectively. Build predictive models and scenario-based analyses to forecast portfolio outcomes, model trade-offs, and define clear ROI recommendations for capital allocation. Design, prototype, and deploy AI agents, workflows, and automated tools that replace repetitive coordination work, helping teams adopt reusable capabilities and reduce friction at scale. Clarify ambiguous requirements, identify root causes of recurring organizational friction, and translate complexity into scalable operating models and self-serve answers. Use AI-powered knowledge management to pressure-test strategy and roadmap alignment, ensuring investment matches growth potential. Report to IFS Product & Technology Strategy & Planning as an individual contributor, with locations available in the UK, Netherlands, Poland, Sweden, or Sri Lanka.

Required Qualifications

  • Background in product operations, portfolio management, product management, or a closely related role
  • solid grounding in product planning, roadmapping, prioritisation or portfolio governance
  • Financial and commercial fluency
  • Comfort operating at the portfolio level
  • Practical confidence using modern AI tools such as Claude, ChatGPT or Copilot
  • Comfort clarifying ambiguous requirements, shaping a path forward and working with stakeholders to build alignment

Desired Qualifications

  • Hands-on experience building or configuring AI agents, workflows or self-service tools, for example via Claude, MCP-style tool integrations, Copilot or low-code agent platforms
  • Enough understanding of how software gets built in an AI-assisted world to partner credibly with engineering
  • Experience in enterprise software or B2B SaaS product organisations
  • Familiarity with portfolio management frameworks
  • Exposure to data governance, anonymisation, or data-sharing agreements

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