Project Manager – Computing and Data Operations

Overview

At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget.

Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus.

The Earth and Biological Sciences Directorate (EBSD) leads critical research in four areas:
Atmospheric, Climate & Earth Sciences, Biological Sciences, Environmental Molecular Sciences, and Global Change. Our vision is to develop a predictive understanding of biological and Earth systems in transition. We aim to understand energy and material flows within the integrated Earth system; to understand, predict, and control the response of biosystems to environmental and/or genomic changes; and to Model the Earth system from the subsurface to the atmosphere.

The Environmental Molecular Sciences Division is comprised of 18 interdisciplinary research teams focused on deciphering molecular-level interactions driving biological and environmental processes across temporal and spatial scales. Through computational analysis and modeling, these findings contribute to predictive understanding of how systems respond to environmental perturbations thus enabling solutions to the nation’s energy, environmental, and human health challenges. The division also manages the Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus that accelerates the research of scientists around the world by providing access to world-class expertise, instrumentation, and computational resources.

As a Project Manager 2 serving as a Computing and Data Operations (CDO) Portfolio Manager within the CDO Group of EMSL at Pacific Northwest National Laboratory (PNNL), the individual is responsible for managing and overseeing projects within the CDO portfolio with a focus on computing infrastructure, data operations, and software development activities. This role involves planning and executing projects that align with organizational goals, managing scope, schedules, budgets, and resources while ensuring effective risk mitigation and compliance with laboratory policies.

The Portfolio Manager will facilitate collaboration across key EMSL science areas, including Computing, Analytics & Modeling (CAM), Environmental Transformations and Interactions (ETI), and Functional and Systems Biology (FSB), ensuring seamless integration of computational and data management capabilities to support diverse scientific research initiatives. Engaging with stakeholders, clients, and multidisciplinary teams, the individual will oversee the delivery of technical and scientific solutions, foster teamwork, and promote the alignment of science priorities and data operations.

This role demands strong leadership, communication, and project management skills to support EMSL’s mission of scientific discovery and innovation.

Responsible for the overall direction, coordination, implementation, execution, control, and completion of specific projects ensuring consistency with organizational strategy, commitments, and goals. This includes acquiring resources and coordinating the efforts of team members and third-party resources in order to deliver projects according to plan. Also responsible to define the projects objectives and oversee quality control throughout its life cycle. Key attributes leading to the determination of upward progression in this career family include: project complexity, risk, team size, business volume, contract type, and political/client/business sensitivities.

Minimum Qualifications:

• BS/BA and 7 years of relevant project management experience
  -OR-
• MS/MA or higher and 5 years of relevant project management experience

Preferred Qualifications:

• Degree in Computer Science, Data Science, Engineering, or a related…