Technical Project Manager, Software Engineer and AI

Pacific Northwest National Laboratory•Richland, WA

4d•Onsite

About The Position

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 National Security Directorate (NSD) drives science-based, mission-focused solutions to take on complex, real-world threats to our nation and the world. The AI and Data Analytics Division, part of NSD, combines profound domain expertise and creative integration of advanced hardware and software to deliver computational solutions that address complex data and analytic challenges. Working in multidisciplinary teams, we connect foundational research to engineering to operations, providing the tools to innovate quickly and field results faster. Our strengths are integrated across the data analytics lifecycle, from data acquisition and management to analysis and decision support.

Requirements

BS/BA and 9+ years of relevant project management experience -OR- MS/MA or higher and 7+ years of relevant project management experience
Experience managing software engineering, analytics, AI/ML, or data science projects in technically complex environments, including experimentation, validation, deployment, and operationalization
U.S. Citizenship
Ability to obtain and maintain a federal security clearance
Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance with 10 CFR 710, Appendix B.
Drug Testing: All Security Clearance positions are Testing Designated Positions, which means that the applicant selected for hire is subject to pre-employment drug testing, and post-employment random drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).
Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy if non-use of illegal drugs, including marijuana, for 12 months cannot be demonstrated.
Testing Designated Position: The candidate selected for this position will be subject to pre-employment and random drug testing for illegal drugs, including marijuana, consistent with the Controlled Substances Act and the PNNL Workplace Substance Abuse Program.
Mandatory Requirements: The Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a “country of risk” without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment.

Nice To Haves

Degree in computer science, data science, information technology, engineering, or related technical field
Demonstrated success with cross-functional teams (software engineers, data scientists, researchers, SMEs)
Proficiency with agile delivery methods and project tracking tools (Jira, Confluence)
Proven ability developing and managing project schedules, budgets, dependencies, and delivery metrics
Strong sponsor engagement and stakeholder communication skills
Solid analytical, problem-solving, organizational, and collaboration capabilities
PMP certification

Responsibilities

Lead project execution across software engineering, data science, and AI/ML initiatives from initiation through deployment, operations transition, and sustainment handoff
Own integrated planning and controls—scope, schedule, budget, milestones, resourcing, and governance—delivering clear, actionable status reporting and documented decisions
Apply agile practices to support iterative software delivery, data science experimentation, and development cycles
Partner with Technical Leads, Architects, Principal Investigators, Data Scientists, and SMEs to drive execution, resolve blockers, and align technical decisions with program objectives
Maintain project artifacts in Jira/Confluence (backlogs, roadmaps, decision logs, action items, dependency tracking)
Identify and mitigate risks and issues across scope, technical execution, data quality, model performance, ML-Ops readiness, security/compliance, and deployment
Serve as primary stakeholder interface, translating mission objectives into executable plans and managing expectations on progress, risks, and tradeoffs
Experience with National Security or federal government projects