Other
Head of Data
Based on 10 assessments
35%
Moderate risk
Average realistic automation risk across all Head of Data profiles in the dataset.
Score spread
Distribution across 10 profiles.
Middle half of Head of Datas score between 32% and 36%.
0%
50%
100%
Task breakdown by work type
Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.
Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.
Computer input, real-world output — needs someone to act on it, not just software.
No computer required. Furthest from automation — the strongest human advantage.
Typical tasks
3 synthetic profiles for a Head of Data, ordered by automation exposure.
Tab between them to see how task mix drives the score difference.
Present findings, defend methodologies, and influence decisions in executive meetings and cross-functional forums
deep expertise
social core
23%
DA
6%
Build and manage data infrastructure (pipelines, warehouses, data lakes, ensuring data quality and accessibility)
22%
DD
54%
Lead and mentor data team (hiring, 1-on-1s, code reviews, skill development, performance management)
deep expertise
social core
22%
DA
0%
Translate business questions into data requirements and define analytics strategy with stakeholders
deep expertise
social core
10%
AD
5%
Write SQL queries, Python scripts, or oversee complex analytical work on ad-hoc business problems
9%
DD
91%
Review and validate analyses, dashboards, and insights produced by team members before stakeholder delivery
6%
DD
57%
Plan roadmap, manage budget, set priorities, and advocate for data tools and headcount
deep expertise
social core
5%
AD
5%
Build and manage data infrastructure (pipelines, warehouses, data lakes, ensuring data quality and accessibility)
22%
DD
48%
Translate business questions into data requirements and define analytics strategy with stakeholders
17%
AD
30%
Present findings, defend methodologies, and influence decisions in executive meetings and cross-functional forums
some context needed
social core
13%
DA
13%
Plan roadmap, manage budget, set priorities, and advocate for data tools and headcount
deep expertise
social core
13%
AD
12%
Lead and mentor data team (hiring, 1-on-1s, code reviews, skill development, performance management)
deep expertise
social core
12%
DA
11%
Write SQL queries, Python scripts, or oversee complex analytical work on ad-hoc business problems
10%
DD
86%
Review and validate analyses, dashboards, and insights produced by team members before stakeholder delivery
10%
DD
47%
Build and manage data infrastructure (pipelines, warehouses, data lakes, ensuring data quality and accessibility)
25%
DD
46%
Write SQL queries, Python scripts, or oversee complex analytical work on ad-hoc business problems
23%
DD
90%
Present findings, defend methodologies, and influence decisions in executive meetings and cross-functional forums
some context needed
social core
17%
DA
12%
Review and validate analyses, dashboards, and insights produced by team members before stakeholder delivery
13%
DD
51%
Plan roadmap, manage budget, set priorities, and advocate for data tools and headcount
deep expertise
social core
12%
AD
12%
Lead and mentor data team (hiring, 1-on-1s, code reviews, skill development, performance management)
deep expertise
social core
5%
DA
0%
Translate business questions into data requirements and define analytics strategy with stakeholders
deep expertise
social core
2%
AD
8%
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