The University Of Chicago
Data and Engineering Manager
The University Of Chicago, Chicago, Illinois, United States, 60290
Data and Engineering Manager
Location:
Chicago, ILTime Type:
Full timePosted On:
30+ Days AgoJob Requisition ID:
JR27676DepartmentPSD Data Science StaffAbout the DepartmentThe Data Science Institute at the University of Chicago was established to support the development of emerging efforts in data science across the University. The staff in the Data Science Institute support the University’s community of scholars, their shared ideals, and the core values that make the University a singular intellectual destination.Job SummaryThe Data and Engineering Manager will lead our internal engineering team across our research initiatives. This position is a critical hire as we are expanding our engineering capacity and head count. The successful candidate will both understand how to establish and nurture software development best practices and is also excited by the opportunity to build and grow a team in a dynamic academic environment. They will have significant technical expertise in one or more of the following areas: cloud computing, database design, web-based applications or machine learning.This position will entail approximately 30% on project management (including scoping, talking with our partners, planning and reporting), 30% on development activities (code review, working with our engineers and data scientists to improve their skills) and 40% direct contribution.ResponsibilitiesManage a team of engineers and students contributing to projects across the Data Science Institute’s activities of research, education, and outreach driving the development of robust, scalable, core components.Provide mentorship to engineers and students and share your passion for staying on top of tech trends, experimenting with and learning new technologies.Establish processes to triage bugs, track software defects, and ensure their timely resolution. Define and steward technical standards and code quality.Oversee internal computing resources.Work closely with faculty, staff, and external organizations to develop novel research and act as the principal liaison to faculty research partners.Collaborate with external data science partner organizations on engineering projects.Develop, apply and communicate standards for evaluating project proposals based on technical merit and other institutional goals.Develop and communicate program priorities and performance standards and assess operations using these criteria.Participate and direct code review and code evaluation activities.Act as a subject matter expert and technical lead on one or more areas of database design, cloud deployment, microservices, devops best practices.Manage employees by establishing annual performance goals, allocating resources, assessing annual performance, and determining individual merit, incentive and/or promotional increases.Advise decisions on project and infrastructure needs, including the evaluation of server technologies, languages, platforms, and frameworks.Perform other related work as needed.Minimum QualificationsEducation:
Minimum requirements include a college or university degree in related field.Work Experience:
Minimum requirements include knowledge and skills developed through 7+ years of work experience in a related job discipline.Preferred QualificationsEducation:Bachelor’s degree or graduate degree in math, statistics, computer science, data science, or related field.Experience:Over 3 years of professional software development management experience.Project management experience using agile methodologies (scrum, Kanban, etc.).Experience with research universities or research environments; experience working with faculty, students, and researchers.Student mentoring experience.Technical Skills or Knowledge:Experience using and developing on one of the major cloud providers (AWS, GCP or Azure).Significant experience developing code in Python with knowledge of Node.js and a compiled language such as C/C++.Strong foundation in data management and data science.Cloud computing cost estimation and budgeting.Strong analytical skills and problem solving.Preferred CompetenciesDemonstrated communication skills and the ability to break down complex technical problems.Application DocumentsResume (required)Cover letter (preferred)When applying, the document(s)
MUST
be uploaded via the
My Experience
page, in the section titled
Application Documents
of the application.Job FamilyInformation TechnologyRole ImpactPeople ManagerFLSA StatusExemptPay FrequencyMonthlyScheduled Weekly Hours37.5Benefits EligibleYesDrug Test RequiredNoHealth Screen RequiredNoMotor Vehicle Record Inquiry RequiredNoPosting StatementThe University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, national or ethnic origin, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law.Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages a diversity of perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange.All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information.For additional information please see the University's Notice of Nondiscrimination.
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Location:
Chicago, ILTime Type:
Full timePosted On:
30+ Days AgoJob Requisition ID:
JR27676DepartmentPSD Data Science StaffAbout the DepartmentThe Data Science Institute at the University of Chicago was established to support the development of emerging efforts in data science across the University. The staff in the Data Science Institute support the University’s community of scholars, their shared ideals, and the core values that make the University a singular intellectual destination.Job SummaryThe Data and Engineering Manager will lead our internal engineering team across our research initiatives. This position is a critical hire as we are expanding our engineering capacity and head count. The successful candidate will both understand how to establish and nurture software development best practices and is also excited by the opportunity to build and grow a team in a dynamic academic environment. They will have significant technical expertise in one or more of the following areas: cloud computing, database design, web-based applications or machine learning.This position will entail approximately 30% on project management (including scoping, talking with our partners, planning and reporting), 30% on development activities (code review, working with our engineers and data scientists to improve their skills) and 40% direct contribution.ResponsibilitiesManage a team of engineers and students contributing to projects across the Data Science Institute’s activities of research, education, and outreach driving the development of robust, scalable, core components.Provide mentorship to engineers and students and share your passion for staying on top of tech trends, experimenting with and learning new technologies.Establish processes to triage bugs, track software defects, and ensure their timely resolution. Define and steward technical standards and code quality.Oversee internal computing resources.Work closely with faculty, staff, and external organizations to develop novel research and act as the principal liaison to faculty research partners.Collaborate with external data science partner organizations on engineering projects.Develop, apply and communicate standards for evaluating project proposals based on technical merit and other institutional goals.Develop and communicate program priorities and performance standards and assess operations using these criteria.Participate and direct code review and code evaluation activities.Act as a subject matter expert and technical lead on one or more areas of database design, cloud deployment, microservices, devops best practices.Manage employees by establishing annual performance goals, allocating resources, assessing annual performance, and determining individual merit, incentive and/or promotional increases.Advise decisions on project and infrastructure needs, including the evaluation of server technologies, languages, platforms, and frameworks.Perform other related work as needed.Minimum QualificationsEducation:
Minimum requirements include a college or university degree in related field.Work Experience:
Minimum requirements include knowledge and skills developed through 7+ years of work experience in a related job discipline.Preferred QualificationsEducation:Bachelor’s degree or graduate degree in math, statistics, computer science, data science, or related field.Experience:Over 3 years of professional software development management experience.Project management experience using agile methodologies (scrum, Kanban, etc.).Experience with research universities or research environments; experience working with faculty, students, and researchers.Student mentoring experience.Technical Skills or Knowledge:Experience using and developing on one of the major cloud providers (AWS, GCP or Azure).Significant experience developing code in Python with knowledge of Node.js and a compiled language such as C/C++.Strong foundation in data management and data science.Cloud computing cost estimation and budgeting.Strong analytical skills and problem solving.Preferred CompetenciesDemonstrated communication skills and the ability to break down complex technical problems.Application DocumentsResume (required)Cover letter (preferred)When applying, the document(s)
MUST
be uploaded via the
My Experience
page, in the section titled
Application Documents
of the application.Job FamilyInformation TechnologyRole ImpactPeople ManagerFLSA StatusExemptPay FrequencyMonthlyScheduled Weekly Hours37.5Benefits EligibleYesDrug Test RequiredNoHealth Screen RequiredNoMotor Vehicle Record Inquiry RequiredNoPosting StatementThe University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, national or ethnic origin, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law.Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages a diversity of perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange.All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information.For additional information please see the University's Notice of Nondiscrimination.
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