Argonne
Academic Partnerships Manager
Lemont, IL USA · Contract
Sponsorship not specified$107k-$166kDetected 50 days ago
Contract ManagementIntellectual PropertyScientific WritingResearchLeadershipCommunicationCollaborationMentoringOrganizational SkillsMicrosoft Office
About the role
- Argonne National Laboratory is a U.S. Department of Energy national laboratory conducting world-class research to address the nation's energy, environmental, and security challenges.
- We invite you to apply for the Academic Partnerships Manager position.
- Additionally, you will interface with Laboratory Senior Leadership, university leadership, and other key stakeholders to advance program objectives and foster impactful collaborations.
Responsibilities
- Develop and implement a cohesive team strategy that integrates efforts across multiple university and community college laboratory partnership programs.
- Partner with senior scientific programs leaders and directorate and laboratory senior management to align university activities to the Argonne's current and emerging research priorities and intellectual property goals.
- Manage business processes and contractual efforts with university partners including Memorandum of Understanding (MOUs), the Joint Appointment Program, and liaison with the Sponsored Research Office to ensure DOE approvals and appropriate contracts are in place, such as collaborative agreements, IP management plans, and use of research outcomes.
- Oversee all academic partnership programs (university partnership program, joint appointment program, visiting faculty program and community college programs) and develop programming to further support future meaningful academic research and workforce development collaborations.
- Manage a team of individuals, 400+ joint appointees, and other key stakeholders.
- Manage spending and budgets across programs, ensuring fiscal compliance and alignment with laboratory and sponsor guidelines, and develop budgets for future work and grant opportunities.
- Establish and track program metrics to measure impact, inform continuous improvement, and support data-driven decision-making, and oversee data collection, synthesis, and analysis across multiple programs and partnerships to produce comprehensive progress reports and dashboards.
- Develop, maintain, and enforce policies and processes associated with the portfolio of programs to ensure consistency and efficiency.
- Monitor program progress, identify challenges, and implement solutions to ensure timely and impactful delivery of outcomes.
- Demonstrated ability to lead teams and manage complex, multi-program portfolios within a matrixed environment.
Requirements
- This position requires expertise in partnership development and contract management, ensuring alignment with the Laboratory's strategic goals and compliance with relevant policies.
- Familiarity with innovation and intellectual property development, management and protection mechanisms and related contracts, preferably in research fields.
- Experience in budget management, grant writing, and financial planning for multi-program portfolios.
- Experience in Microsoft Office, cloud-based collaboration tools, online application tools, web platforms, and social media is desired.
Nice to have
- AI experience a plus but not required.
Compensation
- Supervise team members, ensuring programmatic success and fostering a collaborative work environment.
- Set annual goals for the team and provide clear work direction to ensure successful execution of strategic initiatives and support individual development through mentoring and professional growth opportunities.
Benefits
- Inform and contribute to the department's vision and strategy, ensuring alignment with Argonne's research priorities and workforce development goals.
Visa & Work Authorization
- Manage spending and budgets across programs, ensuring fiscal compliance and alignment with laboratory and sponsor guidelines, and develop budgets for future work and grant opportunities
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This listing is sourced directly from Argonne's careers page and normalized into a canonical job model.