Engineering Manager, Data Analytics Practice

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., * 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.

• 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.

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.

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.