Head of Data career guide
The Head of Data is responsible for defining and executing the organization-wide data strategy, leading teams across data engineering, analytics, and data science. This role ensures data is treated as a strategic asset, enabling data-driven decision making at every level while maintaining rigorous governance, quality standards, and regulatory compliance.
At a glance
What a Head of Data is responsible for
- Define and execute the enterprise data strategy aligned with business objectives and long-term growth targets
- Lead and develop data teams spanning data engineering, analytics, data science, and machine learning functions
- Establish data governance frameworks, quality standards, and compliance policies across the organization
- Partner with executive leadership to identify high-impact opportunities for data-driven decision making
- Own the data infrastructure budget and evaluate build-versus-buy decisions for the data platform
- Champion a data-driven culture and ensure data literacy programs reach all business functions
Skills employers screen for
These are the competencies that come up most consistently in Head of Data hiring processes.
How to become a Head of Data
Most people reach Head of Data after time as a Data Scientist or an equivalent data role. That is where you build the foundation this position assumes.
Data Scientist career guide →Head of Data interviews consistently probe 6 areas — strategic planning and organizational leadership for data teams in particular. Work on evidence you can point to, not just exposure.
We publish 12 Head of Data interview questions with guidance on what a strong answer contains.
Head of Data interview questions →Use the Head of Data resume template — pre-written example content, the keywords screeners look for, and ATS-safe formatting.
Head of Data resume template →Where this sits on the ladder
How Head of Data candidates are assessed
Employers running structured hiring commonly evaluate this role with these assessments.
Free tools for Head of Data candidates
Frequently asked questions
What does a Head of Data do?
The Head of Data is responsible for defining and executing the organization-wide data strategy, leading teams across data engineering, analytics, and data science. This role ensures data is treated as a strategic asset, enabling data-driven decision making at every level while maintaining rigorous governance, quality standards, and regulatory compliance.
What are the main responsibilities of a Head of Data?
The core responsibilities are: Define and execute the enterprise data strategy aligned with business objectives and long-term growth targets; Lead and develop data teams spanning data engineering, analytics, data science, and machine learning functions; Establish data governance frameworks, quality standards, and compliance policies across the organization.
What skills does a Head of Data need?
The skills employers screen for most often are: Strategic planning and organizational leadership for data teams, Data governance, privacy regulations, and regulatory compliance, Data architecture and modern data stack design, Cross-functional stakeholder management and executive influence, Budget management and vendor evaluation for data platforms.
How much experience do you need to become a Head of Data?
Head of Data is typically a lead / director role, which usually means around 8–12 years of relevant experience. Employers weigh demonstrated results more heavily than years alone.
How do you prepare for a Head of Data interview?
Work through the 12 Head of Data interview questions we publish, and prepare a concrete example for each of your core skills. Structured, evidence-backed answers outperform general ones.
How are Head of Data candidates assessed?
Employers using structured hiring commonly assess this role with: Behavioral DNA Assessment. These measure job-relevant skill rather than interview performance alone.