Product Owner

New

AvengaFinance forecasting

Workplace type: remote; Locations: Warszawa, Przyokopowa 26, Warszawa, Country code: PLContractSenior

Salary130 - 150 PLN per hour net b2b

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Job Details

Strong end-to-end product ownership experience for complex digital products, with accountability for outcomes.
Demonstrated ability to deliver measurable value at speed through prioritisation, MVP thinking, fast learning cycles and dependency reduction.
Deep practical knowledge of applying advanced analytics, machine learning, GenAI and/or agentic AI to business problems.
Experience shaping technical solutions and understanding the trade-offs and limitations of AI approaches.
Practical experience shaping and delivering AI-enabled products or capabilities, including production, adoption and evaluation considerations.
Ability to act as a thought partner to internal customers by framing problems, challenging assumptions, shaping options and influencing decisions.
Ability to navigate complex global stakeholder situations, competing priorities and cross-product dependencies.
Strong Agile product delivery, roadmap and backlog-prioritisation skills.
Experience shaping multidisciplinary teams and working across product, engineering, data and business functions.
Finance process knowledge, especially planning, forecasting or FP&A, is an advantage.
Pharmaceutical experience or experience in a comparable large, regulated enterprise is an advantage.

Co-create product outcomes, success measures and epics with Finance customers, challenging assumptions and clarifying problems.
Translate strategy into a focused roadmap, increments, features and user stories.
Own and prioritise the product backlog based on business value, learning, risk, dependencies and capacity.
Partner with Applied AI, data and engineering experts to shape technical solutions and define data, model, evaluation and integration needs.
Drive AI-enabled capabilities from discovery and experimentation into production, adoption and measurable business outcomes.
Lead delivery with the Scrum Master and squad, using prototypes, experiments and MVPs to deliver value early.
Remove blockers, reduce dependencies and make pragmatic trade-offs among value, speed, quality, risk and complexity.
Clarify squad priorities, acceptance criteria and success measures, and align with the Applied AI organisation on architecture and technology.
Facilitate stakeholder alignment and prioritisation decisions using evidence, business value and transparent trade-offs.

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