Data & Analytics Leadership — CDO, VP Data, Head of Analytics
More than 322 executive roles classified in Data & Analytics, with 30 new this week. Chief Data Officers, VPs of Data, ML and AI leadership — the executives who own data infrastructure, analytics, and increasingly the AI roadmap.
Tier breakdown
5
Founder28
C-Suite152
VP44
Sr Director93
DirectorWhat this category covers
Data & Analytics covers Chief Data Officers, VPs of Data, Heads of Analytics, ML & AI leaders, and BI Directors. The flagship spans both the data-platform side and the analytics/decision-science side.
Increasingly includes Heads of AI and applied-ML leaders where the role owns model strategy and deployment, not just research. The classifier looks at whether the role has business-decision authority or sits inside Engineering.
Across the 322 active roles in this category, the largest tier is VP. The classifier weighs company size, scope, and reporting line — not just the title prefix — so the tier mix reflects real responsibility, not vanity titles.
Sample Jobs (0 of 322)
Sample listings temporarily unavailable.
See all roles in your inbox — start 7-day trial →How classification gets to this category
Data & Analytics classification follows the same multi-stage pipeline as every other category, with category-specific signal at three stages:
- Title recognition. Direct title hits resolve fast — common variants are recognized immediately, including the senior, VP, and Director-tier flavors.
- Compensation threshold. An exec-tier base-comp floor filters out individual-contributor roles that share the title language. Roles below the floor in unambiguous category titles are flagged for manual review rather than auto-classified.
- JD signals for ambiguous cases. GPT reads the JD for data-platform scope, model-deployment authority, and decision-influence. CDO-level roles owning enterprise data strategy rank differently from analytics directors inside a single product team. See the AI Classification page for the full signal hierarchy.
Negative filters explicitly block adjacent IC and analyst roles whose titles can resemble executive ones. The result: Data & Analytics as a category in your inbox is the executive cut, not the entry-level cut.
How matching works for your search
Matching on Data & Analytics is conjunctive. Every dimension you add narrows the result set rather than expanding it.
Example: select Data & Analytics + Banking and you see CDOs and VPs of Data at retail banks and asset managers where data is a regulated, board-level concern — your inbox shows the intersection, not the union. You won't see roles that match only one of the filters and not the other.
Tier filtering layers on top. If you only want VP-tier and above in this category, the seniority-tier filter does that cleanly. Restrict further to C-suite only to see the most senior seats, or open it up to Director-tier to widen the funnel during early-stage exploration.
Remote mix