How Good a VP Data Are You, Really?
Fifty questions across ten competencies and the four faces of a modern VP Data — Engineer, Governor, Enabler, Leader. Behavioral and scenario-based, not flattery. About 15 minutes. Built for the people who run the data function end to end: a reliable platform, governed and trusted data, real value delivered, and a strong team across engineering, analytics and science.
What this assessment measures
10 competencies across the 4 faces of the VP Data role — Engineer, Governor, Enabler, Leader — built on the Data leadership: platform, governance, value, team. Five questions each: scenarios, honest reads and forced choices designed to resist self-flattery.
Engineer
The data platform, pipelines and reliability — the foundation.
- Data Platform & Pipelines — A modern, reliable data platform and pipelines — the foundation everything sits on.
- Reliability & Freshness — Data that is fresh, available and dependable; pipelines that do not silently break.
- Architecture & Scalability — A coherent architecture that scales with data volume and the business, not a sprawl.
Governor
Governance, data quality and privacy — making data trusted and safe.
- Governance & Cataloging — Governed, documented, discoverable data — a catalog, ownership, lineage; not a swamp.
- Data Quality & Trust — Trusted data — the same number means the same thing; quality monitored, not assumed.
- Privacy, Security & Ethics — Data handled lawfully and ethically — privacy, security and access done right.
Enabler
Data products and democratization — turning data into value.
- Data Products & Value — Turns the platform into products and value — the data drives decisions and revenue.
- Access & Democratization — Self-service, literate access across the org — data used, not locked in the team.
Leader
Data strategy and the team.
- Data Strategy & Influence — A strategy that makes the company data-driven; data as an asset, not a cost center.
- Team & Talent — A strong bench across engineering, analytics and science; data respected as a driver.
How the score reads
- Emerging (0–34) — Foundations forming — operating below a full VP-Data mandate today.
- Developing (35–51) — Real strengths with clear, nameable gaps before a top data seat.
- Established (52–67) — A solid, credible VP Data across the four faces.
- Advanced (68–82) — A strong data leader operating ahead of the role.
- World-class (83–100) — A world-class VP Data — a governed platform that turns data into value.
What you get
- An overall score out of 100 and a maturity level
- Your VP Data archetype — the honest read on how you lead today
- A 10-competency radar across the faces above
- What companies actually demand from VP Data hires, from real job postings, against your profile
- A personalized AI analysis and development roadmap, delivered by email with a print-ready PDF report
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