Director
DEM.GEN.M6
Own the Data Engineering function enterprise-wide.
Own the Data Engineering function enterprise-wide.
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
Own the Data Engineering function enterprise-wide. Set the organization’s data agenda and ensure data platforms support current and future business goals.
Level — M6 — Vice President
Owns a major function or division; accountable for organization-wide outcomes.
- Scope
- A major function or division
- Autonomy
- Accountable for division strategy and outcomes
- Complexity
- Enterprise priorities and external factors
- Impact
- Division-wide / organization-wide
- Decision rights
- Owns strategy, budget, and org for a division
- Leadership
- Leads the leadership of a division
- Typical experience
- 15–25 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
- Set the organization’s data agendacommonlevel
- Drive innovation through scouting/incubating emerging technologiescommonlevel
- Ensure robust data governance to minimize organizational riskcommonlevel
Tasks3
- Set data agendacommonlevel
- Scout emerging technologiescommonlevel
- Develop governance policiescommonlevel
Skills5
- Agenda settingcommonlevel
- Innovation scoutingcommonlevel
- Governance developmentcommonlevel
- Policy developmentcommonlevel
- Executive communicationcommonlevel
Knowledge5
- Data governance frameworkscommonlevel
- Innovation managementcommonlevel
- Policy developmentcommonlevel
- Risk managementcommonlevel
- Emerging technologiescommonlevel
competency3
- Visionary leadershipcommonlevel
- Governance and policy developmentcommonlevel
- Executive communicationcommonlevel
qualification2
- 25+ years in progressive leadership rolescommonlevel
- Significant experience with mergers/acquisitions preferredcommonlevel
Title aliasesshow ▾
| Alias | Type | Confidence | Approved |
|---|---|---|---|
| Vice President, Data Engineering Management | common | medium0.66 | — |
| Data Engineering Management Vice President | common | medium0.60 | — |
| Vice President, Data Engineering Manager | common | medium0.66 | — |
| Data Engineering Manager Vice President | common | medium0.60 | — |
Classification mappingsshow ▾
O*NET / SOC
- code=15-0000title=Computer & Mathematical Occupationssource=inferred_from_superfunctionreviewStatus=needs_review