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Director, AI Solutions Factory & Residency Program


Apply now Job no: 507974
Position Type: Staff
Location: Boston Main Campus, Portland, ME Campus
Categories: Provost’s Office

About Northeastern:

Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines of discipline, degree, and campus.

Our locations—in Boston; Charlotte, North Carolina; London; Portland, Maine; San Francisco; Seattle; Silicon Valley; Toronto; Vancouver; and the Massachusetts communities of Burlington and Nahant—are nodes in our growing global university system. Through this network, we expand opportunities for flexible, student-centered learning and collaborative, solutions-focused research.

Northeastern’s comprehensive array of undergraduate and graduate programs— in a variety of on-campus and online formats—lead to degrees through the doctorate in nine colleges and schools. Among these, we offer more than 195 multi-discipline majors and degrees designed to prepare students for purposeful lives and careers.

About the Opportunity:

About the Institute:
Do you want to be part of an exciting new Institute focused on the fusion of human and machine intelligence into working AI solutions?

We are launching a pioneering research and innovation hub in AI—one that will shape the way humans and machines collaborate. Led by Dr. Usama Fayyad, the Institute for Experiential AI (IEAI) is built around the challenges and opportunities made possible by human-machine collaboration. The institute provides a framework to design, implement, and scale AI-driven technologies in ways that make a true difference to society. Our ability to respond to the opportunities afforded to society will depend on training and building a workforce that is AI-capable. Located in Portland, Maine, with the goal of growing the Maine tech economy, the Roux Institute will be a center of activity for the Institute’s efforts.

The Culture:
Here at the Institute for Experiential AI (IEAI) we are committed to the highest of standards in all that we do. Working at the Institute of Experiential AI offers opportunities, an environment, a culture that just aren’t found together anywhere else. This is the right place for you if you’re curious, motivated by the future of technology and want to be part of a unique community that works on high-impact business and societal problems.

Responsibilities:

The Opportunity:
This position affords the successful candidate a unique platform to make an impact across both academia and industry. The Director, AI Solutions Factory & Residency Program will lead our AI Solutions practice and interface with industry partners and by deploying our resources helping them shape their AI/technology journey.

The ideal candidate has both industry and academic expertise with a well-rounded knowledge in the fields of data science, machine learning, and AI. This position requires an innate ability to navigate a complex academic environment and utilizing the Unviersity’s resources (faculty & staff) to implement programs and projects for industry partners. As such, this position is client-facing and will be responsible for the successful delivery of client-mandates. With its unique structure, AI Solutions Factory will also deliver practicum courses, giving learners the opportunity to gain hands-on experience in real-world projects.

Responsibilities:
Director of AI Solutions Factory and Residency Program is a unique opportunity for a senior leader to shape an innovative consulting delivery model that maintains strong industry focus within a leading academic institution. The Factory is the most critical offering of the Institute that will leverage data science and AI capabilities at the Institute and across the University to solve the most challenging AI problems in the world. Responsibilities of the Director include:

• Support the Business Development team to scope opportunities and develop solutions
• Lead a team of staff data scientists and data engineers as well as consultants/project managers to deliver projects in AI to clients across a wide variety of industries
• Oversee the continuous development of data infrastructure and related tools and technologies in AI to serve the needs of the Institute and AI faculty at the University
• Work with the academic units at the University to deliver practicum courses as part of the Factory, giving learners the opportunity to work with real data on real world problems during their education
• Work with research faculty to develop AI products to serve the emerging needs of organizations in areas such as responsible AI, cybersecurity and life sciences
• Manage a variety of client engagement models, including a membership driven lab
• Build strong rapport across client organizations, including C-suite to drive AI agenda and develop long-term relationships
• Values & Abilities: Driven by impact to society through the work of the Institute and the University at large.
• Ability to communicate, lead and manage effectively across academica and industry.
• High EQ and comfortable in leading and managing across academia and industry.
• Entrepreneurial mind-set with an ability to navigate complex structures and processes.
• Ability to act both as a leader and mentor to junior technical talent.

Direct Reports:
The Director, AI Solutions Factory & Residency Program will lead the following team:

Head of Data Science and Data Engineering: Managing the data infrastructure and assets of the Institute, delivering data science projects at the AI Solutions Factory.

Head of Academic Programs: Developing and managing practicum courses delivered around projects at the Factory (curriculum, teaching, student experience etc.). Team would include lecturers, program coordinators and potentially teaching staff.

Head of AI Solutions Factory: Delivering consulting projects to corporate partners. Will manage IEAI resources (data scientists and engineers) as well as researchers, postdocs and faculty across NU. Team will include project managers and product managers (for any AI products developed at the Institute)

Head of IEAI Lab: Manages the membership based lab by coordinating resources across the Institute and NU, puts together membership programs, events.

Qualifications:

• Masters or PhD degree in Statistics, Operations Research, Mathematics, Physics, Computer Science, or Engineering, or in a related field
• Prior leadership positions in a global business or consulting enterprise overseeing projects and initiatives in the areas of data science and machine learning
• Experience in directly managing data science teams, technical resources and relevant technology stack
• Experience in an academic environment in a teaching and curriculum development capacity strongly preferred
• Ability to communicate, lead and manage effectively across academica and industry.
• High EQ and comfortable in leading and managing across academia and industry.
• Entrepreneurial mind-set with an ability to navigate complex structures and processes.
• Ability to act both as a leader and mentor to junior technical talent.

 

Salary Grade:

  Salary commensurate with experience

Additional Information:

Northeastern University, along with offering comprehensive health benefits and insurance programs, provides a generous tuition benefit allowing full-time benefits-eligible faculty and staff nine credit hours of tuition per academic term. Further information on the tuition benefit can be found here.

 

Northeastern University is an equal opportunity employer, seeking to recruit and support a broadly diverse community of faculty and staff.  Northeastern values and celebrates diversity in all its forms and strives to foster an inclusive culture built on respect that affirms inter-group relations and builds cohesion. 

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other  characteristic protected by applicable law.

To learn more about Northeastern University’s commitment and support of diversity and inclusion, please see www.northeastern.edu/diversity.

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