Experienced Manager
DEM.GEN.M2
Manage one or more moderate-sized projects or a larger cross-functional team.
Manage one or more moderate-sized projects or a larger cross-functional team.
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
Manage one or more moderate-sized projects or a larger cross-functional team. Design and implement complex data pipelines and integrations with moderate oversight.
Level — M2 — Manager II
Manages an established team or sub-function; owns planning and performance for the group.
- Scope
- An established team or sub-function
- Autonomy
- Owns planning for the group
- Complexity
- Cross-project coordination and priorities
- Impact
- Group delivery and development
- Decision rights
- Owns staffing, priorities, performance for the group
- Leadership
- Manages a team; sometimes manages leads
- Typical experience
- 5–8 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
- Design and implement complex data pipelinescommonlevel
- Provide day-to-day guidance, code reviews, and troubleshootingcommonlevel
- Collaborate with stakeholders to refine requirementscommonlevel
Tasks3
- Lead project teamscommonlevel
- Conduct stakeholder meetingscommonlevel
- Oversee data integration projectscommonlevel
Skills5
- Complex data pipeline designcommonlevel
- Project managementcommonlevel
- Stakeholder collaborationcommonlevel
- Troubleshootingcommonlevel
- Analytical thinkingcommonlevel
Knowledge5
- Project management methodologiescommonlevel
- Advanced data integration techniquescommonlevel
- Stakeholder managementcommonlevel
- Analytical frameworkscommonlevel
- Life sciences data regulationscommonlevel
competency3
- Effective team leadershipcommonlevel
- Good project managementcommonlevel
- Strong analytical skillscommonlevel
qualification2
- 7–10 years in data engineering or software developmentcommonlevel
- Experience with regulatory or clinical data projects 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 | — |
| Experienced Manager | common | medium0.50 | — |
Classification mappingsshow ▾
O*NET / SOC
- code=15-0000title=Computer & Mathematical Occupationssource=inferred_from_superfunctionreviewStatus=needs_review