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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.

• 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.

• 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