Technical Project Manager

1 week ago

Baltimore, Maryland, United States The Johns Hopkins University Full time
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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


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.

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:
Exempt

Location:
Hybrid/Homewood Campus

Department name:
AI-X

Personnel area:
Whiting School of Engineering
Total Rewards
The referenced salary range is based on Johns Hopkins University's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement.

More information can be found here:
.
Please refer to the job description above to see which forms of equivalency are permitted for this position.

If permitted, equivalencies will follow these guidelines:

JHU Equivalency Formula: 30 undergraduate degree credits (semester hours) or 18 graduate degree credits may substitute for one year of experience.

Additional related experience may substitute for required education on the same basis.

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.

**Applicants who do not meet the posted requirements but are completing their final academic semester/quarter will be considered eligible for employment and may be asked to provide additional information confirming their academic completion date.
The successful candidate(s) for this position will be subject to a pre-employment background check. Johns Hopkins is committed to hiring individuals with a justice-involved background, consistent with applicable policies and current practice. A prior criminal history does not automatically preclude candidates from employment at Johns Hopkins University.

In accordance with applicable law, the university will review, on an individual basis, the date of a candidate's conviction, the nature of the conviction and how the conviction relates to an essential job-related qualification or function.

The Johns Hopkins University values diversity, equity and inclusion and advances these through our key strategic framework, the JHU Roadmap on Diversity and Inclusion.

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.

Accommodation Information

If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the Talent Acquisition Office at .

For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations or accessibility at Johns Hopkins University, please visit .
The following additional provisions may apply, depending upon campus. Your recruiter will advise accordingly.

The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination.

This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing.

Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those employees who provide results of blood tests or immunization documentation from their own health care providers.

Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.

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