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17 часов назад

R&D Product Owner (AI)

Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
Italy
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
R&D Product Owner (AI) (Energy Analytics): Defining and guiding data, analytics, and AI solutions for complex energy-domain challenges with an accent on problem framing, evaluation frameworks, and measurable business value. Focus on structuring uncertain problems, validating analytical models and experiments, and turning discovery efforts into robust, interpretable, and actionable decisions.

Location: Parma, Italy

Company

hirify.global develops technology products and services for industries including power and rail, alongside research and development projects in scientific sectors.

What you will do

  • Define high-impact analytical challenges with business stakeholders in the energy sector, including asset monitoring and predictive systems.
  • Translate domain challenges into structured problem frames aligned with business priorities.
  • Set success criteria, metrics, and evaluation frameworks for analyses, experiments, and models.
  • Assess analytical results to verify that solutions deliver measurable business value.
  • Reframe infeasible or low-value questions into achievable analytical opportunities.
  • Ensure conclusions are robust, interpretable, and actionable for decision-making.

Requirements

  • Degree in engineering, physics, mathematics, or a related field.
  • Experience with data-driven insights, analytics, modeling, or diagnostics.
  • Experience defining technical or product problems around clear business value.
  • Strong problem-structuring, analytical thinking, and data-driven decision-making skills.
  • Ability to work with uncertain and incomplete information and communicate complex concepts clearly.
  • Technical fluency when working with data teams; coding is not required.

Nice to have

  • Experience in energy, utilities, or industrial assets.
  • Familiarity with machine learning or statistical modeling.

Culture & Benefits

  • Collaborative working environment focused on solving difficult customer problems.
  • Opportunity to shape how data and AI are applied to real-world industrial analytics.
  • Influence over both discovery activities and product direction.
  • Values include teamwork, continuous improvement, listening, and responsible decision-making.

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