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What the market looks like

Chief Data Officer demand spans enterprise across IT services, professional services, financial services, healthcare, and manufacturing — we've tracked 500+ executive-level data leadership postings in the last six months, concentrated in California, Texas, and New York. Compensation typically ranges from $190K to $440K depending on company scale and data maturity. The strongest candidates bring deep experience building data strategies from the ground up, translating complex technical challenges into business value, and assembling high-performing teams across analytics, engineering, and governance.

Typical job responsibilities

Own the enterprise data strategy — define architecture, governance frameworks, and roadmaps that align data initiatives with business objectives
Build and scale the data organization — recruit, mentor, and develop teams spanning data engineers, analysts, scientists, and data stewards
Drive data infrastructure modernization — evaluate, select, and oversee implementation of platforms, warehouses, and tools that enable analytics at scale
Partner with business leaders to identify high-impact data use cases — quantify ROI and shepherd projects from conception through production
Establish data governance, quality standards, and compliance frameworks — balance accessibility with security and regulatory requirements
Lead cross-functional initiatives — integrate data insights into product, marketing, finance, and operations decision-making
Manage budget and vendor relationships — optimize technology spend and negotiate contracts for tools, cloud infrastructure, and external expertise

Typical candidate requirements

12+ years in data engineering, analytics, or data science — with at least 3–5 years in a leadership role managing teams and strategy
Proven track record building data platforms and infrastructure from concept to production at scale
Strong technical depth — hands-on knowledge of data warehousing, ETL/ELT pipelines, cloud platforms (AWS, GCP, Azure), and modern analytics stacks
Experience defining and executing data governance, quality assurance, and compliance programs in regulated environments
Ability to translate business problems into data solutions and communicate technical concepts to non-technical stakeholders
Track record of recruiting, developing, and retaining high-performing data teams