Engineering Manager, Data Analytics Practice

Duke Careers; Durham (NC); Hybrid; USD 120,000 - 190,000; Full time

Job summary

Duke University’s Office of Information Technology is seeking an experienced Engineering Manager, Data Analytics Practice to lead a team building and supporting enterprise data platforms powering reporting, analytics, and AI initiatives across the university. You’ll shape data engineering strategy, mentor engineers, and partner with technical and business leaders to deliver scalable, secure data solutions.

Hybrid work is available in alignment with Duke policies.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field, or an equivalent combination of education and experience.
• Significant experience leading technical teams and large-scale data engineering initiatives.
• Experience supporting enterprise data warehouses, data lakes, or modern analytics platforms.
• Strong knowledge of SQL, Python, data modeling, and data integration practices.
• Experience with software development lifecycle practices, source control, automated testing, and CI/CD processes.
• Demonstrated ability to manage technical roadmaps, priorities, and stakeholder relationships.

Responsibilities

• Lead and develop a team of data engineers responsible for enterprise data platform solutions.
• Define technical strategy, standards, and best practices for data architecture, engineering, and analytics delivery.
• Partner with business and technical stakeholders to prioritize and deliver high-impact data initiatives.
• Support the evolution of Duke’s enterprise data ecosystem to enable analytics, reporting, and AI capabilities.
• Drive operational excellence through automation, governance, platform reliability, and continuous improvement.

Skills

Leadership

Data analytics

SQL

Python

Data architecture

CI/CD

Education

Bachelor's degree in CS/IT/Engineering/Data Science

Tools

dbt

Cloud analytics platforms

Job description

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Work Arrangement: Hybrid (On-Site and Remote mix)

Requisition Number: 276732

Regular or Temporary: Regular

Location: Durham, NC, US, 27710

Be You.

The Office of Information Technology at Duke University is seeking an experienced Engineering Manager, Data Analytics Practice to lead a team responsible for building and supporting enterprise data platforms that power reporting, analytics, decision-making, and emerging AI initiatives across the university.

In this role, you’ll have the opportunity to shape Duke’s data engineering strategy, mentor a high-performing team, and partner with technical and business leaders to deliver scalable, secure, and sustainable data solutions. If you’re passionate about leadership, modern data architecture, and enabling innovation through data, we’d love to hear from you.

• Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related field, or an equivalent combination of education and experience.
• Significant experience leading technical teams and large-scale data engineering initiatives.
• Experience supporting enterprise data warehouses, data lakes, or modern analytics platforms.
• Strong knowledge of SQL, Python, data modeling, and data integration practices.
• Experience with software development lifecycle practices, source control, automated testing, and CI/CD processes.
• Demonstrated ability to manage technical roadmaps, priorities, and stakeholder relationships.

Preferred Qualifications

• Experience with dbt and modern data transformation frameworks.
• Experience with data orchestration tools and cloud-based analytics platforms.
• Knowledge of AI and machine learning data infrastructure requirements.
• Experience implementing data governance, data quality, and enterprise data management practices.
• Experience working in higher education, healthcare, research, or other complex enterprise organizations.

Other Requirements

• Strong leadership, communication, and stakeholder management skills.
• Ability to balance strategic planning with operational execution.
• Demonstrated success developing and mentoring technical professionals.
• Ability to communicate complex technical concepts to technical and non-technical audiences.

Work Arrangement

Hybrid work arrangement available in accordance with Duke policies and business needs.

Be Bold.

• Lead and develop a team of data engineers responsible for enterprise data platform solutions.
• Define technical strategy, standards, and best practices for data architecture, engineering, and analytics delivery.
• Partner with business and technical stakeholders to prioritize and deliver high-impact data initiatives.
• Support the evolution of Duke’s enterprise data ecosystem to enable analytics, reporting, and AI capabilities.
• Drive operational excellence through automation, governance, platform reliability, and continuous improvement.

Choose Duke.

At Duke, you’ll join a collaborative community dedicated to excellence in education, research, healthcare, and innovation. You’ll work alongside talented colleagues who are passionate about solving complex challenges and leveraging technology to create meaningful impact across the university.

As part of Duke’s technology organization, you’ll have opportunities to influence enterprise-wide strategy, mentor future technology leaders, and help build the data foundation that supports the future of analytics and artificial intelligence at Duke.

Duke offers competitive compensation, comprehensive health and retirement benefits, generous paid time off, professional development opportunities, and a culture that values inclusion, learning, and growth.

Be You. Be Bold. Choose Duke.

Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual’s age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status.

Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas—an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.

Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas—an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.

Essential Physical Job Functions:

Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities. Additional information and provision for requests for reasonable accommodation will be provided by each hiring department.

Nearest Major Market: Durham
Nearest Secondary Market: Raleigh

Read more about Duke’s commitment to affirmative action and nondiscrimination at hr.duke.edu/eeo.