Technical Project Manager (Data Science and AI Institute) - #Staff

Johns Hopkins University; Baltimore (MD); Hybrid; USD 110,000 - 150,000; Full time

Job summary

Johns Hopkins University’s Data Science and AI Institute (DSAI) seeks a Technical Project Manager to coordinate project scope, milestones, and resources across teams. You will drive planning, status reporting, and artifact development with engineers and scientists.

Ideal candidates have strong SDLC and Agile experience, plus a background in software development. This hybrid role at Mount Washington Campus offers collaboration with top researchers and opportunities to present and teach PM

Qualifications

• Bachelor's degree in a quantitative discipline or related field.
• 4 years of project management experience in software; 3 years as a professional software developer.
• Education/work-experience substitutions allowed by the university equivalency formula.

Responsibilities

• Manage multiple project teams and define scope, milestones, and estimates.
• Document requirements, objectives, and key results; track progress.
• Report status to leadership and stakeholders; maintain schedules.
• Guide faculty, staff, and students on project management best practices.
• Develop and deliver presentations and short courses; attend conferences.

Skills

SDLC

Agile

Rational Unified

Project management

Cloud infrastructure

AI/ML concepts

Communication skills

Presentation skills

Education

Bachelor's degree in a quantitative discipline

Master's degree

Certifications such as PMP

Tools

Project management software

Wikis

Cloud platforms

Job description

The Johns Hopkins Data Science and AI Institute (DSAI) is a new pan-institutional initiative at Johns Hopkins to advance artificial intelligence and its applications, in part through investments in the software engineering, data science, and machine learning space. DSAI is focused on revolutionizing discovery by advancing artificial intelligence that evolves collaboratively with human intelligence, combining the strengths of each for the betterment of society and the world in which we live. DSAI will bring together the mathematical, computational, and ethical foundations of AI with the domains of Health & Medicine, Scientific Discovery, Engineered Systems, Security & Safety, and People, Policy & Governance.

DSAI is seeking a Technical Project Manager (TPM) to assist multiple project teams in management of project scope, estimation, milestone criteria, status tracking, and resource allocation. This role combines knowledge of modern scientific computing, AI/ML and data science with expertise in complex software project management to drive systematic definition, tracking and delivery for high-value projects identified across all areas of science, engineering, medicine, social science and public policy.

The TPM will be at the forefront of modern data intensive science, where professionally developed software is rapidly becoming a key ingredient for success. The DSAI initiative includes the build-out of a substantive and professional-scale software engineering capability, and a dramatic increase in infrastructure, both in hardware and in personnel.

Specific Duties & Responsibilities

• Support multiple project teams simultaneously across the institute.
• Work with engineering teams and partners to define and document user and functional scenarios, requirements, and project scope.
• Work with engineering teams and partners to support project planning and delivery, and to define and document milestone criteria, objectives and key results, reviews, results, and status.
• Reports project status to leadership.
• Use DSAI engineering's project management tools and processes.
• Create and manage schedules and provide ongoing project status tracking.
• Use feedback from partners and engineering team to continuously improve management artifacts and processes.
• Leading and participating in service activities, potentially including
• Providing guidance to faculty, staff, and students on project management
• Developing and delivering presentations and short courses
• Attending conferences and workshops
• Hiring
• Other activities as needed

Special Knowledge, Skills, & Abilities

• Strong understanding of the software development lifecycle.
• Strong knowledge and track record using software development processes such as agile and Rational Unified.
• Proficiency with modern project management software, wikis, and related tools.
• Experience collaborating with developers and scientists to define project scope, milestones, and estimates.
• Familiarity with cloud infrastructure and modern software application development frameworks and libraries.
• Familiarity with modern scientific computing, AI/ML and data science technology concepts.
• Strong communication, diplomacy, and interpersonal skills.
• Excellent presentation skills tailoring content depending on audience and ensuring that messaging lands with all stakeholders.

Minimum Qualifications

• Bachelor's Degree in a Quantitative Discipline such as Computer Science, Engineering, Physics, Bioinformatics or similar.
• Four years of experience related to project management in the software industry and three years of experience as a professional software developer.
• Additional education may substitute for required experience, and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula.

Preferred Qualifications

• Master's Degree
• Six (6) years' experience project management in the software industry.
• Experience working with research and scientific stakeholders in an academic or industry research setting.
• Knowledge or experience with PHI and PII data privacy regulations and compliance requirements and frameworks.
• Relevant project management certifications such as PMP or SCM.

Classified Title: Scientific Software Engineer

Job Posting Title (Working Title): Technical Project Manager (Data Science and AI Institute)

Role/Level/Range: APPTSTAF/01/ST

Starting Salary Range: Commensurate w/exp.

Employee group: Full Time

Schedule: M-F, 37.5 hrs wkly

FLSA Status: Exempt

Location: Hybrid/Mount Washington Campus

Department name: DSAI Institute

Personnel area: Whiting School of Engineering

Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.