Director, AI Innovation and Partnerships

Mass General Brigham•Somerville, MA

1d•Remote

About The Position

Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham. The Director, AI Innovation and Partnerships will play a senior leadership role at the intersection of artificial intelligence, clinical translation, innovation strategy, and commercialization across Mass General Brigham. This individual will serve as a primary strategic liaison between Mass General Brigham AI and Mass General Brigham Innovation, helping to identify, evaluate, prioritize, and advance high-potential AI-enabled technologies, programs, and partnerships from early concept through validation, deployment, and commercialization. Working closely with faculty, clinicians, researchers, operational leaders, industry collaborators, and institutional stakeholders, the Director will help build and manage a robust innovation pipeline for AI across the system. The role will support the development of commercialization pathways for internally generated innovations and help align translational activities with institutional priorities in clinical care, operations, research, and growth. Mass General Brigham is committed to advancing clinically meaningful AI and digital innovation through close collaboration across research, care delivery, operations, and industry. The Director, AI Innovation and Partnerships will help accelerate this work by building strong interfaces between MGB Center for AI Research and MGB Innovation, ensuring that promising AI opportunities are assessed rigorously, advanced thoughtfully, and positioned for meaningful institutional and market impact.

Requirements

Bachelor’s degree required.
8 - 10+ years of progressively responsible experience in healthcare innovation, digital health, AI/ML translation, business development, commercialization, venture strategy, product strategy, academic medicine, or a related field required.
Demonstrated experience working across multidisciplinary environments involving clinicians, researchers, technical teams, and administrative or business stakeholders.
Experience evaluating and advancing innovation opportunities from early concept through validation, strategic partnership, implementation, or commercialization.
Experience engaging with external partners, including industry collaborators, investors, startups, health systems, or strategic counterparties.
Strong understanding of the AI and digital health innovation lifecycle, including opportunity assessment, translational development, implementation considerations, and commercialization pathways.
Strong strategic thinking and analytical skills, with the ability to assess complex opportunities across scientific, operational, clinical, and market dimensions.
Excellent interpersonal and relationship-management skills, including the ability to influence across highly matrixed environments.
Strong executive communication skills, including the ability to synthesize complex information clearly for senior institutional leaders and external stakeholders.
Demonstrated ability to lead cross-functional initiatives involving ambiguity, multiple stakeholders, and competing priorities.
Familiarity with healthcare innovation structures such as licensing, venture creation, sponsored partnerships, co-development arrangements, and related translational models.
Working knowledge of issues relevant to healthcare AI translation, including implementation, adoption, governance, validation, and commercialization considerations.
Strong organizational skills and the ability to manage multiple strategic workstreams simultaneously.
High degree of professionalism, judgment, discretion, and attention to detail.

Nice To Haves

Advanced degree strongly preferred, including MD, PhD, MBA, MPH, MS, JD, or related graduate training relevant to healthcare, life sciences, engineering, business, or innovation management.
8 - 10+ years of experience in academic medical centers, integrated delivery systems, digital health organizations, venture-backed companies, technology transfer environments, or healthcare innovation groups strongly preferred.
Advanced experience in AI-enabled healthcare technologies, digital product strategy, or clinical AI deployment.
Experience interfacing with innovation, technology transfer, or business development functions in a large academic or healthcare institution.
Experience supporting or leading commercialization strategy for internally developed healthcare technologies.
Familiarity with the regulatory, operational, and implementation challenges associated with AI tools in healthcare settings.
Experience with partnership development involving life sciences, healthcare technology, software, data, or platform companies.
Demonstrated success in building durable relationships across research, clinical, and business constituencies.

Responsibilities

Lead the Center’s innovation, translation, and partnership strategy for AI-enabled technologies, programs, and initiatives.
Serve as a primary strategic and operational liaison between MGB Center for AI and MGB Innovation to strengthen alignment across innovation sourcing, diligence, commercialization planning, and external engagement.
Identify, evaluate, and advance promising AI opportunities from concept through pilot, validation, deployment, commercialization, and broader institutional adoption.
Build and maintain strong relationships with internal and external stakeholders, including investigators, clinicians, operational leaders, hospital leadership, industry collaborators, investors, and strategic partners.
Partner closely with Mass General Brigham Innovation and other relevant institutional offices to develop and execute commercialization pathways for Center-originated innovations, including licensing, venture creation, sponsored partnerships, co-development structures, and other translational mechanisms.
Help create and oversee processes for innovation intake, prioritization, feasibility assessment, and decision-making across AI translational initiatives.
Support market and strategic assessment of emerging AI opportunities, including clinical relevance, operational fit, technical feasibility, business potential, and institutional alignment.
Facilitate coordination with Mass General Brigham Innovation on invention disclosure, market evaluation, partnering strategy, transaction support, intellectual property positioning, and downstream translation planning.
Support the development of a strong innovation pipeline by working with faculty, trainees, and staff to identify promising technologies and translational opportunities across the Mass General Brigham ecosystem.
Represent MGB Center for AI Research in discussions involving innovation strategy, external partnerships, translational growth opportunities, and commercialization planning.
Collaborate with Center leadership on long-range strategy, program development, external visibility, and the expansion of AI translational capabilities across the enterprise.
Help structure and manage strategic relationships with external companies, including early-stage ventures, established industry partners, funders, and other innovation ecosystem participants.
Work with clinical, technical, operational, and administrative stakeholders to align innovation efforts with real-world implementation pathways and enterprise priorities.
Contribute to the design of internal programs, governance mechanisms, and operating models that improve the efficiency, rigor, and scalability of AI innovation and translation efforts.
Monitor the progress of innovation and partnership initiatives, identify barriers to advancement, and help drive timely execution and informed decision-making.
Contribute to a culture of excellence, rigor, speed, collaboration, and execution across MGB AI and its interface with MGB Innovation.
May supervise or help coordinate the work of project managers, analysts, program staff, or other personnel supporting innovation and partnership activities.
May lead cross-functional teams and working groups organized around strategic innovation priorities, partnership opportunities, or translational initiatives.
Will be expected to provide leadership through influence, coordination, prioritization, and execution in a matrixed environment.