Senior Product Portfolio Analyst in London

IFS is a billion-dollar revenue company with 6000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters–at the Moment of Service™. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge.

At IFS, we’re flexible, we’re innovative, and we’re focused not only on how we can engage with our customers but on how we can make a real change and have a worldwide impact. We help solve some of society’s greatest challenges, fostering a better future through our agility, collaboration, and trust. We celebrate diversity and understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities.

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. You'll 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.

Key Responsibilities:

• 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 – build predictive models that forecast portfolio outcomes, and model alternative scenarios, trade-offs and opportunity costs.
• 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.
• Root cause analysis – dig past symptoms to understand why the same friction keeps recurring across teams and help design sustainable solutions.
• Turning ambiguity into scalable capability – clarify ambiguous requirements and translate recurring organizational friction into repeatable processes.
• Agentic enablement – design, prototype and deploy AI agents, workflows and decision-support tools that scale across the product management organization.
• Enablement over control – create the tools, data products, AI agents and operating mechanisms that allow product managers to work more independently and effectively.

Qualifications:

• Background in product operations, portfolio management, product management, or a closely related role.
• Financial and commercial fluency – comfortable modelling portfolio scenarios, trade-offs and opportunity costs.
• Comfort operating at the portfolio level – able to turn complex prioritisation and sequencing questions into clear data, evidence and options.
• Practical confidence using modern AI tools such as Claude, ChatGPT or Copilot.
• A strong preference for enabling teams through better tools, clearer processes, self-serve answers and AI-enabled ways of working.
• Comfort clarifying ambiguous requirements and shaping a path forward.

Desirable experience:

• Hands-on experience building or configuring AI agents, workflows or self-service tools.
• Understanding of how software gets built in an AI-assisted world.
• Experience in enterprise software or B2B SaaS product organisations.
• Familiarity with portfolio management frameworks.
• Exposure to data governance, anonymisation, or data-sharing agreements.

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.