Entry Manager
DEM.GEN.M1
Assist in leading a small data engineering team or project.
Assist in leading a small data engineering team or project.
The story of this role
Who does this work
Data Engineering Manager who wants to build efficient and secure data infrastructure that supports groundbreaking research and innovations in life sciences.
The problem this role solves
- The external problem: The overwhelming amount of diverse data formats and regulatory requirements complicating data management.
- The internal problem: Frustration over slow data access and processing that hampers research outcomes and decision-making.
- Why it matters: Every piece of data is crucial in advancing healthcare and scientific understanding, yet it remains underutilized due to inefficiencies in data handling.
The plan
- Evaluate current data infrastructure and identify areas for improvement.
- Design and implement scalable ETL/ELT pipelines to ensure seamless data integration.
- Establish data governance practices to enforce integrity and compliance.
- Encourage continuous learning and collaboration among the data engineering team.
- Utilize cutting-edge technologies and methodologies to optimize data processing.
What's at stake
Inconsistent data quality leads to flawed research outcomes. Security breaches compromise sensitive patient and research data. Inefficient processes result in missed opportunities and delayed discoveries.
Success looks like
Streamlined data operations enhance research quality and speed. Robust infrastructure supports innovative breakthroughs in life sciences. A data-driven culture empowers teams to make informed decisions swiftly.
Summary
Assist in leading a small data engineering team or project. Implement and maintain individual data pipelines and components under direction of senior staff.
Level — M1 — Manager (Team Lead)
Front-line people manager of a single team; owns delivery, coaching, and execution.
- Scope
- A single team
- Autonomy
- Manages within established goals
- Complexity
- Day-to-day delivery and people issues
- Impact
- Team output and health
- Decision rights
- Owns team execution, hiring input, performance
- Leadership
- Direct people management of one team
- Typical experience
- 3–6 yrs
Core outputs
No core outputs recorded yet.
Adjacent roles
Nearest roles by structural coordinates (level + taxonomy). Distance 0 → 1; each carries its 3-state match band. How coordinates work → · Compare side-by-side →
Componentsshow ▾
Responsibilities3
- Implement and maintain individual data pipelinescommonlevel
- Execute data integrations, perform testing and debuggingcommonlevel
- Review code, document work, and contribute to standardscommonlevel
Tasks3
- Develop and maintain data pipelinescommonlevel
- Perform code reviewscommonlevel
- Document technical processescommonlevel
Skills5
- Data pipeline implementationcommonlevel
- Code reviewcommonlevel
- Technical documentationcommonlevel
- Testing and debuggingcommonlevel
- Standards compliancecommonlevel
Knowledge5
- ETL/ELT processescommonlevel
- Data warehouse architecturecommonlevel
- Data integrity principlescommonlevel
- Programming languagescommonlevel
- Life sciences data formatscommonlevel
competency3
- Strong technical executioncommonlevel
- Good communicationcommonlevel
- Problem-solving attitudecommonlevel
qualification3
- 5–7 years in data-related rolescommonlevel
- Bachelor’s degree in Computer Science, Engineering, or relatedcommonlevel
- Advanced degree preferredcommonlevel
Title aliasesshow ▾
| Alias | Type | Confidence | Approved |
|---|---|---|---|
| Manager, Data Engineering Management | common | medium0.66 | — |
| Data Engineering Management Manager | common | medium0.60 | — |
| Manager, Data Engineering Manager | common | medium0.66 | — |
| Data Engineering Manager Manager | common | medium0.60 | — |
| Entry Manager | common | medium0.50 | — |
Classification mappingsshow ▾
O*NET / SOC
- code=15-0000title=Computer & Mathematical Occupationssource=inferred_from_superfunctionreviewStatus=needs_review