Manager, Data Engineering – Research, Oncology & AI Value Realization

Responsibilities

• Contribute to the development of PennDnA’s data engineering strategy, aligning team objectives with broader organizational goals.
• Lead and, as needed, assist with multiple complex projects, allocating resources, solving problems, and adjusting plans to achieve desired outcomes.
• Career Development: Guide planning and execution of data engineering projects, ensuring adherence to timelines, budgets, and quality standards.
• Cross-Functional Coordination: Coordinate with cross-functional teams.
• Risk Management: Proactively identify and address risks and issues to mitigate project delays and ensure successful outcomes.
• Hands-On Expertise: Provide hands-on technical expertise where needed to drive to successful outcomes.
• Team Management: Manage a team of 6-8 data engineers. Provide direction and feedback. Monitor employee engagement and design interventions, as needed.
• Stakeholder Engagement: Engage with stakeholders across the organization to understand data requirements and priorities. Communicate with key stakeholders about project scope, team capacity, timelines, and potential risks.
• Collaboration: Collaborate with PennDnA colleagues and internal clients. Work to understand needs, refine requests, and make recommendations. Negotiate project parameters, when needed.
• Continuous Improvement: Look for opportunities to optimize data engineering processes and workflows. Implement best practices and standards to ensure the accuracy and reliability of enterprise data. Stay abreast of industry trends and emerging technologies in data engineering, incorporating relevant advancements into organizational practices.

Qualifications

• Bachelor's Degree in Computer Science, Information Systems, or a related field.
• 5+ years of experience in data engineering, with a proven track record of leading a teams to execute large complex data engineering projects.
• Experience working with data from Electronic Health Records (EHRs).
• Preferred: 1+ years of experience with Epic EHRs.