Technical Group Manager, Data Sciences and Analytics
Full/Part Time: Full-Time
PNNL’s Data Sciences and Analytics (DSA) group is home to core capabilities in data analytics and engineering, machine learning, semantic computing, human language technologies, and other disciplines. The group’s work ranges from basic research in new data analysis techniques to applied engineering efforts that put those advances to use addressing critical global needs in security, energy, and science. Data science is a key enabler for all of PNNL’s missions, and this mission-driven approach to technology development pushes us to seek forward-looking solutions to new problems, advancing data science in the context of real challenges.
We are seeking a driven leader to serve as Technical Group Manager (TGM) for the DSA group, which includes more than 60 staff located in Richland and Seattle, WA. The TGM provides line management and technical leadership for the DSA capability, with responsibility for selecting, maintaining, and growing the people, equipment and facilities necessary to execute the group’s work. The TGM is a strategic, future-oriented thinker who leads teams in developing growth plans and identifying and removing barriers. The TGM establishes high standards and seeks continuous improvement, while creating the work environment that enables the success of each DSA staff member.
The DSA Technical Group Manager also serves as a core member of the Computing and Analytics Division leadership team, helping to guide the growth the computing capability across PNNL and establishing productive collaborations with other mission areas in the Laboratory. The TGM seeks connections across the organization and both influences and understands the impact of organizational, national, and global changes. The TGM must be a diplomatic communicator, able to interpret and disseminate technical and organizational directions up and down the organization.
The TGM creates a work culture that prizes innovation, entrepreneurship, and flexibility while emphasizing engagement and morale, operational discipline, security, and safety. The TGM works to continuously enhance the group’s reputation and visibility with stakeholders inside and outside the Lab, guiding the DSA capability through its next phase of growth, including expanding the diversity of its funding sources and connections across all of PNNL’s mission areas. As a member of the National Security Directorate’s extended management team, the TGM also identifies, solicits and applies overhead and R&D funding and other resources necessary to meet these objectives. Depending on level of experience, the TGM may contribute to business and institutional objectives across the National Security Directorate and PNNL more broadly.
Specific responsibilities include:
- Fostering a feedback-rich environment; actively understanding and resolving barriers that impede staff and accomplishment of work; providing clear, direct, and timely feedback and growth opportunities; and fostering active bi-directional communications that informs organizational decisions.
- Managing 3-5 technical team leaders as part of the DSA management team, setting performance expectations and growing the next generation of leaders.
- Organizational leadership of 60+ research and engineering professionals; technical leadership for the group and recruiting new R&D leaders.
- Administering overhead budgets and staff development resources to ensure expertise, facilities, and equipment are mission-ready.
- Working with business developers to define and attract new programs to the group; identify and promote new R&D ideas.
- Contributing to division and directorate strategy objectives as a member of the CA Division leadership team; may lead, coordinate, or contribute to activities that advance organizational long-term goals.
- Translating strategy into action, setting directions for capability investments and defining future group strategy and technical agendas, while also establishing well-defined work and work environment for staff.
- Liaising with the external technical community, including developing partnerships with university and industrial collaborators; interact regularly with government sponsors to connect mission needs with PNNL computing capabilities, and to create business opportunities for staff and programs in the DSA group and beyond.
- Actively communicating Lab, sponsor, and external technical trends to the group, and representing group directions and capabilities outwardly to these communities.
Operating on the data-information-knowledge continuum, staff at PNNL employ diverse methods to confront significant problems of national interest—from distilling distributed data into knowledge that supports decision processes, to enabling resilient technologies that enhance computing at extreme scales, to equipping cyber defenders with tools that prevent damaging cyber-attacks.
Our research portfolio—spanning from basic to applied—includes data and computational engineering, high-performance computing, applied mathematics, semantic and human language technologies, machine learning, data and computing architectures, systems integration, and software and application development.
Computing researchers and practitioners work side by side to apply advanced theories, methods, algorithms, models, evaluation tools and testbeds, and computational-based solutions address complex scientific challenges affecting energy, biological sciences, the environment, and national security.
Equal Employment Opportunity
Battelle Memorial Institute (BMI) at Pacific Northwest National Laboratory (PNNL) is an Affirmative Action/Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All BMI staff must be able to demonstrate the legal right to work in the United States. BMI is an E-Verify employer. Learn more at jobs.pnnl.gov.
- Bachelor’s degree plus 8 or more years’ relevant experience or an advanced degree plus 6 or more years’ relevant experience. An advanced degree in a field related to data science is preferred (such as computer science, mathematics, or engineering) as is research or engineering expertise in data science or data management.
- Position level will be decided based upon assessment
- Bachelor’s degree plus 10 or more years’ relevant experience or an advanced degree plus 8 or more years’ relevant experience. An advanced degree in a field related to data science is preferred (such as computer science, mathematics, or engineering) as is research or engineering expertise in data science or data management.
- Highly skilled in managing research or technology development projects.
- Strong record of collaboration across technical domains and delivering results across multi-disciplinary environments.
- Demonstrated record in developing and sustaining external funding.
- Outstanding record of professional, technical, and management accomplishments along with a reputation for integrity and trust.
- Strong interpersonal and leadership skills and a love of mentoring others.
- Exceptional oral and written communication skills.
- Supervisory or line-management experience and direct responsibility for capability stewardship for a technical working group is preferred.
- Experience leading teams and managing, planning, and executing computing R&D programs for DOE, DOD, DHS, and/or other federal agencies is preferred.
Organization and Job ID
Job ID: 307813
Directorate: National Security
Division: Computing & Analytics
Group: Data Science & Analytics
This position requires the ability to obtain and maintain a federal security clearance.
* U.S. Citizenship
* Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance 10 CFR 710, Appendix B.
* Drug Testing: All Security Clearance (L or Q) positions will be considered by the Department of Energy to be Testing Designated Positions which means that they are subject to applicant, random, and for cause 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 until non-use of illegal drugs, including marijuana, for 12 consecutive months can be demonstrated.