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Location
Hybrid (Durham, United States)
Seniority
Staff

Confirmed on the employer's own hiring board on Nov 8, 2026. First seen by Alion on Nov 7, 2026. Duke Health scores A on the Alion truth index.

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Duke Health is an academic healthcare system and medical enterprise that integrates the Duke University Health System, Duke University School of Medicine, and Duke University School of Nursing. The organization provides comprehensive tertiary and quaternary inpatient care, advanced surgical procedures, biomedical research, clinical trials, primary and specialty outpatient care, and health professions education. Headquartered in Durham, North Carolina, United States, the health system operates major flagship hospitals, outpatient centers, and primary care networks throughout North Carolina and the surrounding region.

Engineering Manager, Data Analytics Practice

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.

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.

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.

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