Generative AI Program Manager for Communications Expert

4 weeks ago


Laurel, Maryland, United States The Johns Hopkins University Applied Physics Laboratory Full time
Job Summary

We are seeking a highly skilled Generative AI Program Manager to join our team at The Johns Hopkins University Applied Physics Laboratory. This individual will be responsible for developing and leading the implementation of a strategic vision for integrating Gen AI technologies into our communications department's workflows, enhancing efficiency, productivity, and quality assurance.

The successful candidate will have a deep understanding of the latest trends in Gen AI and experience leading cross-disciplinary teams in dynamic and high-energy environments. They will be able to collaborate effectively and operate independently, setting priorities and balancing needs in a fast-paced organization.

Key Responsibilities:

  • Develop and lead the implementation of a strategic vision for integrating Gen AI technologies into the communications department's workflows
  • Develop and leverage relationships with technical leaders in Gen AI across the Lab and effectively share the communications department's expertise in leveraging Gen AI
  • Lead a team including subject matter experts in graphic design, video production, public affairs, technical writing, editorial, social media, printing, and displays to identify ways to enable creative storytelling through leveraging Gen AI
  • Investigate and evaluate emerging trends and advancements in Gen AI technology to ensure the department is adopting best practices and using the right tools through partnership with the communications technology manager
  • Foster an environment that encourages experimentation, noble failures, and continuous improvement in the adoption of Gen AI technologies
  • Partner with communications strategists and Gen AI experts across the Lab to help APL staff understand the Lab's data security and legal guidance around the use of Gen AI through clear and concise messaging
  • Identify and manage relationships with partners within and outside of APL to ensure our staff have access to enterprise-level Gen AI technology
  • Establish performance metrics for Gen AI solutions used by the communications department - regularly monitoring their effectiveness in meeting departmental goals
  • Partner with the communications department resources to build and deploy Gen AI solutions within the communications department
  • Develop and lead the execution of training sessions and workshops for communications department staff ensuring seamless integration into workflows

Requirements

  • Bachelor's degree in data science, AI research and development, computer science, mathematics, engineering, communications, or a related field
  • At least six years of experience in a field related to data science, AI research and development, computer science, mathematics, engineering, or a related field
  • At least one year of experience heavily leveraging Generative AI
  • Experience leading cross-disciplinary teams in dynamic and high-energy environments
  • Ability to collaborate effectively and operate independently - setting priorities and balancing needs in a fast-paced organization
  • Experience managing a portfolio of work including managing budgets and forecasting future needs
  • Ability to develop clear and compelling reports and presentations
  • Ability to obtain Secret level security clearance

Preferred Qualifications

  • Master's degree in data science, AI research and development, computer science, mathematics, engineering, communications, or a related field
  • Demonstrated success in the design and implementation of new cross-disciplinary tools or workflows

About Us

The Johns Hopkins University Applied Physics Laboratory is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law.


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