Senior Product Portfolio Analyst

IFS builds enterprise software for the industries that run the world energy manufacturing construction aerospace and telecom among them. As AI moves from pilot to daily practice across our Product Management organization we need someone who can turn that shift into practical  adopted ways of working that help teams make better decisions and reduce friction at scale. 

Were looking for someone who can bring structure to complex cross-functional problems  identifying root causes creating practical solutions and helping teams adopt better ways of working at scale.  

This role sits at the intersection of portfolio management product management and financial/commercial planning with AI-agentic first ways of working central to the role.  You will use AI tools as your default way of working and  prototype  and implement reusable agents data products and automated workflows that remove friction at scale.  

Youll report into IFS Product & Technology Strategy & Planning organization working closely with Product Management leadership. This is an individual-contributor role. Your impact is measured in influence clarity and adopted capabilities. 

You can be located in any of these countries; UK Netherlands Poland Sweden or Sri Lanka

 

• Portfolio insight and decision enablement  turn portfolio data initiative context and business signals into self-serve insights decision tools and clear options that help product managers and leaders make better-informed prioritization investment and sequencing decisions. 

• Predictive and scenario-based portfolio analysis  go beyond reporting on the past: build predictive models that forecast portfolio outcomes and model alternative scenarios trade-offs and opportunity costs a capability we dont have today so leadership can compare real options instead of relying on gut feel. 

• Capital allocation and ROI  develop clear evidence-based recommendations for how investment should be allocated across products and define how ROI and benefits realization are tracked once decisions are made. 

• Strategy support  use AI-powered knowledge management to make our strategy and roadmap easier to consume and act on and use portfolio insight to pressure-test it are we funding the strategy we set out to fund are we spread too thin are we over-investing in areas with limited growth potential. 

• Root cause analysis  dig past symptoms to understand why the same friction keeps recurring across teams and help design sustainable solutions rather than local workarounds. 

• Turning ambiguity into scalable capability  clarify ambiguous requirements translate recurring organizational friction into repeatable processes operating models and and help teams adopt AI-enabled solutions broadly rather than solved repeatedly as one-off problems. 

• Agentic enablement  design prototype and deploy AI agents workflows and decision-support tools that scale across the product management organization replacing repetitive analysis and coordination work with reusable capabilities. 

• Enablement over control  create the tools data products AI agents and operating mechanisms that allow product managers to work more independently and effectively reducing reliance on central coordination while increasing consistency and decision quality. 

Qualifications :

You do not need to meet every point below. We are most interested in candidates who can combine strong portfolio/product thinking with analytical judgement curiosity about AI-enabled ways of working and the ability to translate complexity into practical adopted solutions. 

Essential experience and capabilities  

• Background in product operations portfolio management product management or a closely related role with solid grounding in product planning roadmapping prioritisation or portfolio governance.  

• Financial and commercial fluency comfortable modelling portfolio scenarios trade-offs and opportunity costs and framing recommendations in terms of ROI and benefits realisation that leadership can act on.  

• Comfort operating at the portfolio level able to turn complex prioritisation and sequencing questions into clear data evidence and options so Product Managers and leaders can make confident well-informed decisions across multiple teams and initiatives.  

• Practical confidence using modern AI tools such as Claude ChatGPT or Copilot to improve analysis decision-making or ways of working.  

• A strong preference for enabling teams through better tools clearer processes self-serve answers and AI-enabled ways of working rather than centralising decisions or becoming a gatekeeper.  

• Comfort clarifying ambiguous requirements shaping a path forward and working with stakeholders to build alignment.  

Desirable experience  

• 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; you do not need to ship production code but you understand how the work has changed.  

• Experience in enterprise software or B2B SaaS product organisations.  

• Familiarity with portfolio management frameworks.  

• Exposure to data governance anonymisation or data-sharing agreements.  

Additional Information :

We believe that coming together as a community in person is important for innovation connection and fostering a sense of belonging. Our roles have the right balance of remote and in-office working to enable flexibility for managing your life along with ensuring a real connection with your colleagues and the broader IFS community.

Remote Work :

No

Employment Type :

Full-time