1 день назад
Senior Product Portfolio Analyst (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Product Portfolio Analyst (AI): Building portfolio insights, predictive scenario models, ROI recommendations, and reusable AI agents and workflows for product management with an accent on portfolio prioritization, capital allocation, and strategy enablement. Focus on translating ambiguous cross-functional problems into scalable data products, decision-support tools, and AI-enabled operating capabilities.
Location: Nunspeet, Gelderland, Netherlands; candidates can be located in the UK, Netherlands, Poland, Sweden, or Sri Lanka. The role combines remote and in-office work.
Company
develops AI-powered enterprise software for industries including energy, manufacturing, construction, aerospace, and telecommunications.
What you will do
- Turn portfolio data, initiative context, and business signals into self-service insights and decision-support tools.
- Build predictive models and scenario analyses covering portfolio outcomes, trade-offs, opportunity costs, and sequencing.
- Develop recommendations for capital allocation and establish ROI and benefits-realisation tracking.
- Use AI-powered knowledge management and portfolio insights to support product strategy and roadmap decisions.
- Analyse recurring organisational friction and translate ambiguous problems into repeatable processes, operating models, and scalable capabilities.
- Design, prototype, and deploy AI agents, automated workflows, data products, and enablement tools for the product management organisation.
Requirements
- Experience in product operations, portfolio management, product management, or a closely related field.
- Strong grounding in product planning, roadmapping, prioritisation, or portfolio governance.
- Financial and commercial fluency, including portfolio scenario modelling, trade-offs, opportunity costs, ROI, and benefits realisation.
- Ability to turn complex prioritisation and sequencing questions into clear data, evidence, and options for product leaders.
- Practical experience using modern AI tools such as Claude, ChatGPT, or Copilot.
- Ability to clarify ambiguous requirements, build stakeholder alignment, and enable teams through better tools and processes.
Nice to have
- Experience building or configuring AI agents, workflows, self-service tools, MCP-style integrations, Copilot solutions, or low-code agent platforms.
- Understanding of software development in an AI-assisted environment and ability to partner with engineering.
- Experience in enterprise software or B2B SaaS product organisations.
- Familiarity with portfolio management frameworks, data governance, anonymisation, or data-sharing agreements.
Culture & Benefits
- Flexible balance of remote and in-office work.
- In-person collaboration supports innovation, connection, and belonging.
- International and diverse working environment.
- Focus on sustainability, collaboration, trust, and practical impact.
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