As Global Head of Research & Leadership Advisory at JRG Partners, I built this Chief Data Officer job description template from the specifications that actually close searches. Copy the template below, then, more importantly, customize it with the guidance that follows: a job description is a positioning document read by candidates with options, and generic specs recruit generic slates.
Key Takeaways: Writing a Chief Data Officer Job Description That Works
- The Chief Data Officer owns the company’s data strategy, governance, platforms, and analytics-to-AI value chain, converting the data estate from cost and risk into decision advantage.
- Write the spec for the candidate you want to attract, not the file you need to complete; strong leaders read job descriptions as evidence of how the company thinks.
- Separate true requirements from preferences ruthlessly; inflated requirement lists shrink slates without improving them.
- Publishing the success metrics up front attracts operators and deters narrators, exactly the sorting you want.
- Choose the emphasis, governance-first or value-first, and say so; the two mandates attract nearly non-overlapping candidate pools.
About the Chief Data Officer Role
In market-standard structures, the role reports to the Chief Executive Officer, Chief Information Officer, or Chief Operating Officer and leads data engineering, analytics/BI, data governance, and ML/AI teams. Scope varies by company, which is exactly why the customization guidance below matters, but the template reflects the specification most strong candidates will recognize.
Chief Data Officer Job Description Template
Position Summary
[Company] is seeking a Chief Data Officer. The Chief Data Officer owns the company’s data strategy, governance, platforms, and analytics-to-AI value chain, converting the data estate from cost and risk into decision advantage. The position reports to the Chief Executive Officer, Chief Information Officer, or Chief Operating Officer.Key Responsibilities
- Set enterprise data strategy tied to measurable business value
- Own data platforms, architecture, and engineering delivery
- Lead governance: quality, lineage, privacy, and regulatory compliance
- Build analytics and BI capability the business actually uses
- Drive ML/AI use-case pipeline from selection to production
- Partner with security on data protection and access frameworks
- Establish data literacy and product-thinking across functions
- Quantify and report the data agenda’s realized value
Requirements & Qualifications
- 10+ years data leadership; platform builds at comparable scale
- Production ML/AI delivery record, not proofs of concept
- Governance and privacy-regulation fluency for the industry
- Modern data-stack architecture judgment
- Business-case discipline: value quantified and audited
- Cross-functional influence without direct authority
- Team building across scarce engineering and science talent
Key Performance Indicators
- Business value attributed to data/AI use cases
- Models and products in production (and their metrics)
- Data quality and governance maturity scores
- Platform adoption across functions
- Time-to-data / self-service metrics
- Regulatory and privacy audit outcomes
- Team retention in a poaching-heavy market
Compensation
Mid-market base salaries for this role typically run $275,000-$375,000, scaling substantially with company size and mandate; see our Chief Data Officer Salary Guide 2026 for full benchmarks by revenue tier, ownership structure, and industry.
How to Customize This Template
A template earns nothing until it is tuned. Choose the emphasis, governance-first or value-first, and say so; the two mandates attract nearly non-overlapping candidate pools. Then prune the requirements to the honest minimum, rank the responsibilities so the first three carry the mandate’s weight, and confirm the KPI list matches how the executive will actually be reviewed, because candidates will hold you to it.
Common Mistakes in Chief Data Officer Job Descriptions
Audit any specification against five classic errors before posting: unicorn requirement lists, unprioritized responsibility dumps, absent success metrics, insider jargon, and missing compensation context. Strong candidates read these as organizational tells, and they are usually right to.
From Job Description to Hire
A locked spec sets up the two decisions that follow: pricing the role against the real market, and building an interview process that tests the requirements rather than admiring them. For the interview stage, our Chief Data Officer interview questions guide pairs directly with this template.
Frequently Asked Questions
- Q: What does a Chief Data Officer do?
- A: The Chief Data Officer owns the company’s data strategy, governance, platforms, and analytics-to-AI value chain, converting the data estate from cost and risk into decision advantage. Day to day, the role centers on set enterprise data strategy tied to measurable business value and own data platforms, architecture, and engineering delivery.
- Q: Who does the Chief Data Officer report to?
- A: Most commonly the Chief Executive Officer, Chief Information Officer, or Chief Operating Officer, with the role leading data engineering, analytics/BI, data governance, and ML/AI teams. Reporting-line choices signal the seat’s real weight, and candidates read them that way.
- Q: How many years of experience should a Chief Data Officer have?
- A: Market-standard specifications ask for 10+ years of relevant progressive leadership, but treat tenure as a proxy: the requirement that matters is demonstrated ownership of the outcomes in the KPI list at comparable scale.
- Q: How does chief data officer pay compare with chief AI officer pay?
- A: Where both roles exist, the chief AI officer typically prices 10-20% above the CDO, reflecting 2026 scarcity. Increasingly the seats merge, and a combined data-and-AI mandate prices at the higher benchmark.
- Q: How long should a Chief Data Officer job description be?
- A: Keep the public posting to a focused page and hold the extended success profile internally; the two documents serve different readers and merging them serves neither.
- Q: What requirements should we include for a Chief Data Officer?
- A: Apply one test to each line: would we reject a great candidate who lacks this? If not, move it to preferred, or delete it.
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Tanya Gallardo
Managing Director, Executive Search & AI Talent Strategy
Tanya Gallardo is the Managing Director of Executive Search & AI Talent Strategy at JRG Partners, leading C-suite and Board engagements across key growth sectors including Technology, Financial Services, and Manufacturing.
With over 18 years of experience specializing in disruptive technology leadership, Tanya is recognized as a leading authority on talent architecture for future-focused executive roles, such as the Chief AI Officer (CAIO) and Chief Digital Officer (CDO). Her expertise lies in accurately assessing the cultural fit and technical depth required to ensure a high return on investment (ROI) for critical leadership appointments.
Prior to her role at JRG Partners, Tanya held senior roles directing global talent acquisition strategies at a major publicly-traded technology firm, advising on organizational design and succession planning for emerging executive functions. She is a recognized speaker and contributor to industry events, sharing data-driven insights on executive compensation, leadership development, and the measurable business impact of C-suite talent.
