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Duke University

Engineering Manager, Data Analytics Practice

🇺🇸 Hybrid - Durham, North Carolina 🕑 Full-Time 💰 TBD 💻 Data Science 🗓️ November 9th, 2026
SQL Python DBT

Edtech.com's Summary

Duke University is hiring an Engineering Manager, Data Analytics Practice. The role leads the team in Duke’s Office of Information Technology that builds and supports the enterprise data platforms behind the university’s reporting, analytics, decision-making, and emerging AI work. The manager sets the technical direction for data engineering, mentors the engineers on the team, and works with technical and business leaders to deliver scalable and secure data solutions.

Highlights
  • Lead and develop a team of data engineers responsible for Duke’s enterprise data platform solutions.
  • Define the 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, and manage technical roadmaps and stakeholder relationships.
  • Support the growth of Duke’s enterprise data ecosystem so it can power 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 equivalent experience), plus significant experience leading technical teams and large-scale data engineering initiatives.
  • Experience supporting enterprise data warehouses, data lakes, or modern analytics platforms, with strong SQL, Python, data modeling, and data integration skills.
  • Working knowledge of software development lifecycle practices, including source control, automated testing, and CI/CD.
  • Preferred experience with dbt and modern data transformation frameworks, data orchestration tools, cloud analytics platforms, AI and machine learning data infrastructure, and data governance and data quality practices.
  • Hybrid work arrangement available in accordance with Duke policies and business needs.

Engineering Manager, Data Analytics Practice Full Description

Work Arrangement: Hybrid (On-Site and Remote mix)
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.
Minimum Requirements
  • 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.
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 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.