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Manager, Reservoir Engineering Modeling

Job in Reno, Washoe County, Nevada, 89550, USA
Listing for: Ormat Technologies, Inc.
Full Time position
Listed on 2026-10-17
Job specializations:
  • Engineering
    Oil & Gas, Energy Engineer
  • Energy/Power Generation
    Oil & Gas, Energy Engineer
Salary/Wage Range or Industry Benchmark: 180000 - 260000 USD Yearly USD 180000.00 260000.00 YEAR
Job Description & How to Apply Below
Introduction

Headquartered in Reno, NV, Ormat designs, develops, builds, owns and operates geothermal and recovered energy-based power plants in the US and worldwide. With a spotless international reputation, we’re on track to become a leading global provider of renewable energy.

We take pride in our family-oriented business building practical green energy solutions from the ground up.

Join a team that’s giving new life to the future of our planet.

Overview

The Manager, Reservoir Engineering Modeling leads Ormat’s numerical modeling team and is accountable for the development, calibration, and application of reservoir models across the Company’s operating fields, greenfield developments, and expansion projects. The team provides the long-term forecasts and reservoir strategies that underpin sustainable generation, development planning, drilling strategy, investment decisions, and portfolio growth forecasts.

The role is responsible for establishing Ormat’s technical view of long-term reservoir performance, including generation potential, development capacity, make-up well planning, and the uncertainty associated with these forecasts. The Manager ensures reservoir models are appropriately calibrated to available data, limitations and uncertainties are clearly communicated, and modeling results are translated into practical reservoir management and development strategies.

The Manager leads and develops a team of reservoir engineers and modelers and builds a center of excellence for geothermal reservoir modeling and forecasting. The role establishes technical standards, quality assurance, peer review, and consistent modeling practices across Ormat’s portfolio while advancing the use of modern computational, data-science, and AI-enabled tools.

The position may also perform technical work directly, particularly on complex or strategically important assignments, while providing technical review, coaching, and guidance to the team. The Manager supports due diligence through critical review of third-party models and independent assessment of resource potential and represents Ormat with joint venture partners and other external stakeholders on reservoir modeling and long-term resource strategy.

Responsibilities
  • Maintains a safe workplace with the goal of zero incidents and ensures that team and self comply with internal policies and applicable legal and regulatory requirements.
  • Leads and manages the numerical modeling team, establishing priorities, technical standards, quality expectations, and delivery schedules across operating fields, greenfield developments, and expansion projects.
  • Leads, develops, and mentors the team; sets individual objectives, conducts performance reviews, develops technical capability, and works with leadership and HR on staffing and organizational development.
  • Owns the development, calibration, maintenance, and application of conceptual and numerical reservoir models used to understand and forecast long-term reservoir performance.
  • Establishes the long-term reservoir forecasts used to support generation planning, development strategy, make-up well planning, annual budgets, investment decisions, and portfolio forecasts.
  • Develops and evaluates reservoir development and management strategies, including alternative production and injection scenarios, drilling strategies, capacity additions, and other investments intended to maximize sustainable generation and long-term asset value.
  • Ensures uncertainty is appropriately quantified and communicated in reservoir forecasts and development recommendations, including the use of probabilistic analysis, sensitivities, scenarios, and decision trees where appropriate.
  • Identifies the key data and technical uncertainties affecting reservoir…
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