12 дней назад
Product Owner (AI-Driven Reservoir Simulation & Optimization)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Product Owner (AI-Driven Reservoir Simulation & Optimization) (AI/reservoir engineering): Leading development of an AI-driven reservoir simulator that combines machine learning with real-time and historical production data to model, predict, and optimize reservoir performance with an accent on product strategy, data pipelines, and production forecasting. Focus on translating reservoir engineering requirements into prioritized backlogs, validating AI models against real reservoir behavior, and defining KPIs for accuracy, runtime, and business value.
Location: Wietmarschen-Lohne, Germany; home office is possible.
Company
develops advanced technologies for optimizing energy production, including real-time flow measurement and data-driven solutions.
What you will do
- Own and continuously refine the product vision, roadmap, backlog, and priorities for an AI-driven reservoir simulator.
- Translate reservoir engineering and production optimization requirements into user stories, acceptance criteria, and epics.
- Coordinate reservoir engineers, data scientists, software developers, DevOps teams, and business stakeholders.
- Prioritize data ingestion, preprocessing, model training, history matching, production forecasting, and reservoir optimization features.
- Facilitate Scrum activities and track progress against OKRs and epics.
- Define KPIs for model accuracy, computational performance, incremental production, simulation runtime, and forecast accuracy.
Requirements
- Degree in petroleum engineering, reservoir engineering, or a related technical field, or equivalent practical experience.
- At least 5 years of experience as a Product Owner, Product Manager, or in a similar role in a software or data-driven product environment within the oil and gas industry.
- Solid knowledge of agile methodologies, Scrum or Kanban, backlog management, and Azure DevOps.
- Deep understanding of reservoir engineering, including multiphase flow, production data, and history matching.
- Basic understanding of AI/ML concepts and strong stakeholder communication skills.
- Fluent written and spoken English required; German language skills are advantageous.
Nice to have
- Hands-on machine learning experience.
- Experience with data aggregation and modeling across real-time sensor data and monthly or quarterly reservoir data.
- German language skills.
Culture & Benefits
- Flexible working hours and home office options.
- Development and career opportunities in a global, long-term-oriented group.
- Open, informal culture with social events and in-house sports activities.
- Company-owned day care center supporting work-family compatibility.
- Employer-funded pension, capital accumulation benefits, discounted insurance, and corporate discounts.
- Company restaurant, electric vehicle charging, and leasing offers for IT products and bicycles.
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