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Executive Director, AI-BIOME Programmable Cloud Laboratory

Research Foundation CUNY
AI GovernanceOn-siteFull-timeNew York, NY$160,000 - $170,000

Research Foundation CUNY is hiring for the job of Executive Director, AI-BIOME Programmable Cloud Laboratory, New York, NY (On-site). This is an AI Governance job in the governance, risk, and compliance field, with a posted range of $160,000 - $170,000. Review the full details below and apply directly with Research Foundation CUNY.

Organization: Research Foundation CUNYLocation: New York, NYWorkplace: On-siteFocus: AI GovernanceSalary: $160,000 - $170,000Posted: Oct 9, 2026
Research Foundation CUNY is hiring for this AI Governance job in New York, one of the metros GRC Careers tracks for governance, risk, and compliance hiring. See other GRC jobs in New York →

Thank you for considering a career with the Research Foundation of The City University of New York (RFCUNY). The team at RFCUNY is made up of dedicated, talented professionals committed to providing the services that allow CUNY researchers, faculty, and staff to focus on their intellectual curiosity and scientific discoveries. We are pleased that you are interested in exploring opportunities to join RFCUNY. Primary Location: The CITY COLLEGE of NEW YORK Bargaining Unit: No Position Summary The Executive Director will provide strategic leadership for AI-BIOME, an NSF-funded Programmable Cloud Laboratory (PCL) headquartered at the CUNY City College of New York (CCNY) and the CUNY Advanced Science Research Center (ASRC). Working closely with the AI-BIOME Co-Directors, 5 PIs, Science; AI and Data Leads, CCNY and ASRC leadership, and partner institutions including Brookhaven National Laboratory (BNL), 30 partners from industry, the Executive Director will establish AI-BIOME as a national research resource for state-of-the-art AI research enabling distributed scientific discovery in the area of bio-inspired materials and molecular materials engineering. The Executive Director will lead the strategic growth, external partnerships, organizational development, and long-term sustainability of AI-BIOME while fostering integration with CCNY and ASRC interdisciplinary research programs and core facilities. Working in partnership with the Director of Operations, the Executive Director will ensure successful execution of AI-BIOME s research, education, workforce development, innovation, and outreach missions. Core Responsibilities Strategic Leadership Program Development Partner with the AI-BIOME Co-Directors and Executive Committee to develop and implement AI-BIOME s strategic vision. Coordinate with the AI-BIOME Science, AI and Data Leads to align with NSF TIP’s vision for PCL on these three focus areas. Translate scientific priorities into organizational strategy, operational priorities, and measurable milestones. Identify opportunities for program growth, strategic partnerships, new funding, and long-term sustainability. Lead strategic planning and organizational development across research, education, workforce development, innovation, and outreach. Institutional Partnerships External Relations Represent AI-BIOME with NSF, federal agencies, City and State agencies, partner institutions, industry, philanthropic organizations, and government stakeholders. Develop strategic partnerships with universities, national laboratories, industry, and community organizations. Build AI-BIOME s national and international visibility and contribute to the development of the emerging Programmable Cloud Laboratory ecosystem. Support technology transfer, entrepreneurship, and commercialization activities in collaboration with institutional partners. Integration with CCNY ASRC Research Infrastructure Work closely with CCNY and ASRC leadership to integrate AI-BIOME with interdisciplinary research initiatives and shared research infrastructure. Develop new opportunities that leverage the CCNY and ASRC core facilities in laboratory automation, high-throughput experimentation, materials characterization, photonics, imaging, computation, and data science. Foster collaborations that expand utilization of shared research infrastructure and strengthen AI-BIOME as a hub for interdisciplinary discovery. Organizational Leadership Provide leadership and mentorship to senior staff. Foster a collaborative, innovative, and inclusive organizational culture across AI-BIOME s multi-institutional community. Work closely with the Director of Operations to ensure efficient implementation of organizational priorities. Program Oversight Oversee organizational performance and progress toward scientific and operational milestones. Coordinate with the Director of Operations on NSF reporting, external reviews, advisory board activities, and strategic planning. Ensure AI-BIOME maintains excellence in research operations, workforce development, education, and external engagement. Other duties as assigned. Work Arrangement Work Arrangement: On-Site at CCNY/ASRC campus in the West Harlem Innovation Triangle Appointment Type : Full-time, Grant-funded (Renewable based on performance and funding) Minimum Qualifications Advanced degree in science, engineering, computer science, data science, public administration, business, or a related discipline. Eight to ten years of progressively responsible leadership experience managing complex scientific, academic, or research organizations. Demonstrated experience managing large federally funded research programs, interdisciplinary centers, shared scientific facilities, or comparable research infrastructure. Experience managing complex budgets, grants, contracts, and multi-institutional collaborations. Experience working with federal funding agencies and knowledge of research administration and compliance requirements. Demonstrated ability to build partnerships across academia, industry, government, and nonprofit organizations. Exceptional leadership, organizational, interpersonal, and written and oral communication skills. Demonstrated ability to lead organizational growth, manage change, and balance strategic planning with operational execution. Experience working in laboratory automation, scientific software, AI, research computing, or digital research infrastructure is highly desirable. Commitment to fostering an inclusive, collaborative, and innovative research environment. Demonstrated experience leading complex interdisciplinary research organizations or shared scientific infrastructure. Experience developing strategic partnerships and growing multi-institutional research programs. Demonstrated ability to translate scientific vision into organizational strategy and sustainable research infrastructure. Desired Qualification PMP certification or an equivalent qualification/relevant experience preferre Pay Range: Minimum - Maximum: $160,000.00 - $170,000.00 RFCUNY Benefits RFCUNY Employee Benefits and Accruals Equal Employment Opportunity Statement The Research Foundation of the City University of New York is an Equal Opportunity/Affirmative Action/Americans with Disabilities Act/E-Verify Employer. It is the policy of the Research Foundation of CUNY to provide equal employment opportunities free of discrimination based on race, color, age, religion, sex, pregnancy, childbirth, national origin, disability, marital status, veteran status, sexual orientation, gender identity, genetic information, marital status, domestic violence victim status, arrest record, criminal conviction history, or any other protected characteristic under applicable law.

Location and market context

This job is based in New York on-site. Local candidates benefit from being close to Research Foundation CUNY's teams and regional hiring market. Confirm the exact in-office expectation and any relocation support with the employer.

About AI governance jobs

AI governance sits at the intersection of policy, risk, and engineering. Teams are standing up model inventories, use-case intake and review, risk classification, and control monitoring as regulation and board scrutiny of AI intensify. Jobs like this one are typically evaluated against frameworks such as NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices.

How to position yourself for this AI governance job

Strong candidates emphasize experience translating policy into operational controls, working across legal, compliance, security, product, and data teams, documenting AI system risks, and supporting governance processes. In your resume and outreach, tie your experience to how Research Foundation CUNY would apply NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices, and lead with concrete outcomes rather than duties.

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