Technical Project Manager

Baltimore, MD, United States

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 to assist multiple project teams in management of project scope, estimation, milestone criteria, status tracking, resource allocation, testing/QA and software delivery. 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 DSAI Technical Project Manager 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. JHU has long been a world leader in the broader domains of medicine and public health as well as a wide range of science and engineering fields. This combined with our ethos of building out capabilities to have demonstrable global impact (e.g., JHUs Coronavirus Resource Center the award-winning global resource for real-time data and analysis for COVID-19) and other unique large scientific data sets, like the archives for the Sloan Digital Sky Survey and several simulations, will be key leverage points that will make the DSAI successful.

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, OKRs, reviews, results, and status.

Work with engineering teams and partners to develop project QA programs, track defects, and manage resolution.

Identify and develop web-based project management tools and processes.

Create and manage schedules and provide ongoing project status tracking.

Strong understanding and team guidance in software development processes.

Design and manage open-source community adoption initiatives.

Prepare and deliver high quality executive reviews and ensure strategic alignment with leadership.

Use engineering team and partner feedback to continuously improve management artifacts and processes.

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 creating high quality software specification documents and partnering with developers to define project scope, milestones, and estimates.

Working knowledge of cloud infrastructure, and modern software application development frameworks and libraries.

Working knowledge of 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 technical project management in the software industry.

Additional education may substitute for experience to the extent permitted by the JHU equivalency formula*

JHU Equivalency Formula: 30 undergraduate degree credits (semester hours) or 18 graduate degree credits may substitute for one year of experience. For jobs where equivalency is permitted, up to two years of non-related college course work may be applied towards the total minimum education/experience required for the respective job.

Preferred Qualifications

Master's Degree in a Quantitative Discipline.

Six (6) years' experience technical 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 certification such as PMP.

Relevant agile certification such as SCM.

Experience in open-source project governance.

Experience in open-source community adoption initiatives.

Classified Title: Scientific Software Engineer

Job Posting Title (Working Title): Technical Project Manager

Role/Level/Range: APPTSTAF/01/ST

Starting Salary Range: Commensurate with experience

Employee group: Full Time

Schedule: 37.5 hrs/wk, M-F

Exempt Status: No SAP Value

Location: Hybrid/Homewood Campus

Department name: AI-X

Personnel area: Whiting School of Engineering

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