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Chief Data Analytics Jobs (NOW HIRING)

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Chief Data Architect

Foster City, CA · Hybrid

$74.25 - $95.50/hr

The Chief Data Architect - Finance Technology is responsible for defining and leading the ... Lead the vision for a modern, cloud-based Finance data ecosystem spanning transactional, analytical ...

Visa

Chief Data Architect

Foster City, CA · Hybrid

$74.25 - $95.50/hr

The Chief Data Architect - Finance Technology is responsible for defining and leading the ... Lead the vision for a modern, cloud-based Finance data ecosystem spanning transactional, analytical ...

Visa

Chief Data Architect

Foster City, CA · On-site

$74.25 - $95.50/hr

The Chief Data Architect - Finance Technology is responsible for defining and leading the ... Lead the vision for a modern, cloud-based Finance data ecosystem spanning transactional, analytical ...

Cornerstone Defense

Chief Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Job #3772 Position Chief Data Engineer Work Location McLean, VA Security Clearance TS/SCI with ... Normalize and standardize data for incorporation into AI/ML enabled analytical methodologies.

Vanguard Group, Inc.

Chief Data Domain Architect

Malvern, PA · On-site

$62.50 - $80.50/hr

The Chief Data Domain Architect for Advice & Wealth Management shapes and evolves the architecture ... Advance architecture to support AI and analytics use cases relevant to advice workflows.

Cillium Corp.

data analyst

Fairfax, VA · On-site

... Chief Data Officer (CDO) business and function leads to review and assess the Data Quality (DQ ... analyst, financial modeler, statistician Good understanding of data management practices ...

iCapital

Data Analytics - Associate

New York, NY · On-site +1

$110K - $150K/yr

This individual will sit in the Analytics group of the broader Chief Data Office (CDO) team and work closely with the Business Intelligence, Data Engineering and Machine Learning teams. This is a ...

iCapital

Data Analytics - Associate

New York, NY · On-site

$110K - $150K/yr

This individual will sit in the Analytics group of the broader Chief Data Office (CDO) team and work closely with the Business Intelligence, Data Engineering and Machine Learning teams. This is a ...

cillium corp

data analyst

Fairfax, VA · On-site

... analysis of profiling and metrics results • Review DQ requirements to help build valid and ... Chief Data Officer (CDO) business and function leads to review and assess the Data Quality (DQ ...

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Chief Data Analytics information

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$33K

$124.4K

$200.5K

How much do chief data analytics jobs pay per year?

As of Jun 20, 2026, the average yearly pay for chief data analytics in the United States is $124,409.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,000.00 and $146,000.00 per year, depending on experience, location, and employer.

How much does a chief data analyst make?

A chief data analyst typically earns between $90,000 and $150,000 annually, depending on experience, industry, and location. They often have strong skills in data management, analytics tools, and leadership responsibilities, which can influence salary levels.

What are the key skills and qualifications needed to thrive as a Chief Data Analytics, and why are they important?

To thrive as a Chief Data Analytics, you need advanced expertise in data science, statistical analysis, and business intelligence, often supported by a master's or doctoral degree in a quantitative field. Familiarity with analytics platforms (such as Tableau, Power BI), big data tools (like Hadoop, Spark), and programming languages (Python, R), as well as certifications in data analytics or management, are typically required. Strategic thinking, strong leadership, and effective communication skills are essential to bridge the gap between technical teams and business stakeholders. These competencies are crucial for driving data-driven decision-making, aligning analytics initiatives with organizational goals, and delivering measurable business value.

How does a Chief Data Analytics professional typically collaborate with other departments to drive data-driven decision making?

As a Chief Data Analytics professional, you'll work closely with leaders from departments such as marketing, finance, operations, and IT to identify key business challenges and opportunities where data can provide actionable insights. Regular cross-functional meetings, workshops, and data strategy sessions are common to ensure alignment on goals and data priorities. You'll also guide teams on best practices for data collection, analysis, and interpretation, fostering a culture of data-driven decision making throughout the organization. Building strong relationships and maintaining clear communication with stakeholders is essential to drive successful analytics initiatives and support organizational growth.

What is the highest paying job in data analytics?

The highest paying roles in data analytics are often senior positions such as Chief Data Officer or Data Science Director, which require extensive experience, advanced skills in machine learning and big data tools, and often involve strategic decision-making responsibilities. These roles can offer salaries exceeding $150,000 annually, depending on the industry and location.

What does a Chief Data Analytics Officer do?

A Chief Data Analytics Officer (CDAO) is responsible for overseeing an organization's data strategy, analytics initiatives, and data-driven decision making. They lead teams that collect, analyze, and interpret data to support business goals and drive innovation. The CDAO ensures that data governance, quality, and privacy standards are met, while also promoting a data-centric culture across the company. Their work helps organizations leverage data assets to gain competitive advantage and improve performance.

Is AI replacing data analysts?

Chief Data Analysts and data professionals use AI tools to automate routine tasks and enhance data insights, but AI is not replacing the need for human expertise. Data analysts interpret complex data, develop strategies, and ensure data quality, which requires critical thinking and domain knowledge that AI cannot fully replicate. The role is evolving to include skills in machine learning and data management, making human oversight essential in data-driven decision-making.

What is the difference between Chief Data Analytics vs Data Analyst?

AspectChief Data AnalyticsData Analyst
CredentialsAdvanced degrees (Master's, PhD), certifications in data management and analyticsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentStrategic leadership, overseeing analytics teams, executive collaborationData analysis, reporting, and visualization tasks, often under supervision
Employer & Industry UsageUsed in large organizations, tech firms, finance, healthcareCommon across various industries, including retail, marketing, finance

Chief Data Analytics focuses on strategic leadership, managing analytics teams, and aligning data initiatives with business goals. Data Analysts perform hands-on data analysis, reporting, and visualization. Both roles require strong analytical skills, but the Chief Data Analytics role involves higher-level decision-making and leadership responsibilities.

What does a chief data analyst do?

A chief data analyst is responsible for analyzing complex data sets to identify trends, support decision-making, and improve business strategies. They often lead data teams, develop data models, and use tools like SQL, Python, or R to extract insights, ensuring data quality and accuracy. Strong analytical skills and knowledge of data visualization are essential in this role.
More about Chief Data Analytics jobs
What cities are hiring for Chief Data Analytics jobs? Cities with the most Chief Data Analytics job openings:
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What job categories do people searching Chief Data Analytics jobs look for? The top searched job categories for Chief Data Analytics jobs are:
Chief Data Analytics jobs near you
Infographic showing various Chief Data Analytics job openings in the United States as of June 2026, with employment types broken down into 29% Full Time, and 71% Part Time. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $124,409 per year, or $59.8 per hour.

Chief Data Scientist

U.S. Department of Agriculture (USDA)

Washington, DC • On-site

$151K/yr

Other

Posted 12 days ago

Job description

The position of Chief Data Scientist is in the Office of the Chief Information Officer, Food Safety and Inspection Service, U.S. Department of Agriculture (USDA). The Office of the Chief Information Officer (OCIO) has primary responsibility for information technology and information management for FSIS.Qualifications:The application process used to recruit for this position is RESUME-ONLY. DO NOT submit separate Technical Qualifications in lieu of a resume.
Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution. Candidates will not be hired based on their race, sex, color, religion, or national origin.
To apply for this position, you need only submit a resume which CANNOT exceed TWO (2) pages using 0.8-inch margins and an 11-point font. Any resume that exceeds the maximum length of two (2) pages will be removed from consideration. Your resume should include examples of experience, education, and accomplishments applicable to the qualification(s). If your resume does not reflect demonstrated evidence of these qualifications, you may not receive consideration for the position.
Failure to meet the basic qualification requirement and address all Technical Qualification factors within your resume will result in your application being disqualified.
There is NO requirement to prepare a narrative statement specifically addressing the Technical Qualifications (TQs).
TECHNICAL QUALIFICATIONS (TQs):
Please give examples and explain the complexity of the knowledge possessed and the sensitivity of the issue you handled. The Mandatory Technical Qualifications are listed below. Typically, experience of this nature will have been gained at or above the GS-14/15 grade level in the federal service or its equivalent in the private sector. Applicants must clearly demonstrate in their resume that they meet the following technical qualification(s). Failure to meet basic qualification requirements and to submit narratives for the Mandatory Technical Qualification factors will automatically disqualify an applicant.

TQ 1: Demonstrated ability to apply techniques in advanced analytics, statistical modeling, ML/AI, and scientific methodology at an executive, agency-wide leadership level.
TQ 2: Demonstrated executive-level expertise in architecting enterprise data platforms, leading cloud modernization initiatives, and directing large-scale data-engineering ecosystems that enable and strengthen regulatory and scientific decision-making across the organization.

Time in grade requirements does not apply to SL positions.
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs {e.g., Peace Corps, AmeriCorps) and other organizations {e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
Applicants must meet all qualifications and eligibility (including educational) requirements by the closing date of the announcement.Education:

  1. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.

    or

  2. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.

Employment Type: OTHER

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