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Remote Chief Data Officer Jobs (NOW HIRING)

Anika Systems

Data Engineer

Leesburg, VA · Remote

$117K - $140K/yr

... Chief Data Officer (OCDO) initiatives, and delivering high-quality, trusted data for analytics, reporting, and mission operations. This opportunity is 100% remote. The ideal candidate has hands-on ...

Anika Systems

Data Engineer

Leesburg, VA · Remote

$115K - $139K/yr

... Chief Data Officer (OCDO) initiatives, and delivering high-quality, trusted data for analytics, reporting, and mission operations. This opportunity is 100% remote. The ideal candidate has hands-on ...

Mercor

Chief Data Scientist

San Francisco, CA · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams on data science methodology , statistical inference , and modeling best practices . * Design challenging ...

Ascent CFO Solutions

Interim CFO

Denver, CO · Remote

$120 - $140/hr

Interim Chief Financial Officer Ascent CFO Solutions At Ascent CFO Solutions, we are a leading ... remote or on-site depending on the client's request Powered by JazzHR hKjx71svaI

BluZinc

COO Chief Operating Officer

Austin, TX · On-site +1

$200K - $275K/yr

Fully remote home office based anywhere in Northern America with a direct hire employment agreement ... Data & analytics to support excellent decision making and appropriate KPIs and Exec Reporting

AHU Technologies, Inc.

Data Steward

$73 - $81/hr

Under the aegis of the Client Chief Data Officer, the Client Data Steward is responsible for ... Required This is a remote position. Compensation: $73.00 - $81.00 per hour About Us AHU ...

AHU Technologies, Inc.

Data Analyst/ Curam

$73 - $81/hr

Under the aegis of the Client Chief Data Officer, the Client Data Analyst is responsible for ... Highly desired 11 Years This is a remote position. Compensation: $73.00 - $81.00 per hour About Us ...

AHU Technologies, Inc.

Data Analyst/ Healthcare

$73 - $81/hr

Under the aegis of the Client Chief Data Officer, the Client Data Analyst is responsible for ... Highly desired 11 Years This is a remote position. Compensation: $73.00 - $81.00 per hour About Us ...

WES

Chief Technology Officer (Remote)

Manhattan, NY · Remote

$290K - $320K/yr

Chief Business Officer Location: USA - Remote Compensation: $290K - $320K USD Who We Are: World ... Strengthen data and analytics capabilities (governance, quality, tooling, and reporting) to provide ...

BluZinc

Chief Marketing Officer CMO

Miami, FL · On-site +1

$220K - $280K/yr

Chief Marketing Officer (CMO), $100MM+ Revenue Brand BuilderDTC/Digital Marketing Expertise Remote ... This is a remote, home office-based role designed for a USA citizen capable of operating during ...

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All JobsRemote Chief Data Officer Jobs

Remote Chief Data Officer information

See salary details

$69K

$163.2K

$275.5K

How much do remote chief data officer jobs pay per year?

As of Jun 27, 2026, the average yearly pay for remote chief data officer in the United States is $163,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $200,000.00 per year, depending on experience, location, and employer.

How does a Remote Chief Data Officer typically collaborate with cross-functional teams to drive data strategy?

As a Remote Chief Data Officer (CDO), you will regularly collaborate with cross-functional teams such as IT, business operations, compliance, and analytics to align data initiatives with organizational goals. Effective communication is essential, as you'll often lead virtual meetings, set data governance policies, and coordinate projects across different time zones. Building strong relationships remotely and leveraging collaborative tools are crucial for fostering a unified data culture and ensuring that data-driven insights are accessible and actionable for all departments.

What is the difference between Remote Chief Data Officer vs Remote Data Governance Manager?

AspectRemote Chief Data OfficerRemote Data Governance Manager
CredentialsAdvanced degrees in data science, business, or related fields; executive certificationsRelevant certifications in data management, data governance, or related areas; bachelor’s or master’s degree
Work EnvironmentExecutive leadership, strategic planning, cross-departmental collaborationOperational focus, implementing data policies, managing data teams
Industry UsageUsed across industries for strategic data oversightCommon in organizations with complex data compliance needs
Search & Comparison IntentUnderstanding high-level data leadership rolesDetailing data management and governance responsibilities

The Remote Chief Data Officer holds a strategic, executive role overseeing an organization’s data strategy, while the Remote Data Governance Manager focuses on implementing data policies and managing data quality. Both roles require data management expertise but differ in scope and seniority.

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

To thrive as a Remote Chief Data Officer, you need a strong background in data strategy, analytics, data governance, and a relevant advanced degree, often in data science, computer science, or a related field. Expertise in data management platforms, cloud technologies, data visualization tools, and certifications such as CDMP (Certified Data Management Professional) are commonly required. Exceptional leadership, communication, and strategic thinking skills are crucial for aligning data initiatives across remote teams and stakeholders. These competencies ensure effective data-driven decision-making, regulatory compliance, and the creation of business value from organizational data assets.

What is a Remote Chief Data Officer?

A Remote Chief Data Officer (CDO) is a senior executive responsible for overseeing a company's data strategy, management, and governance while working from a location outside the organization's physical office. The CDO ensures that data assets are effectively utilized to support business objectives, maintain data quality, and comply with regulations. In a remote setting, the CDO collaborates with teams virtually, leverages digital tools for data management, and sets policies to ensure secure and efficient data handling across the organization.
More about Remote Chief Data Officer jobs
What cities are hiring for Remote Chief Data Officer jobs? Cities with the most Remote Chief Data Officer job openings:
What are the most commonly searched types of Chief Data Officer jobs? The most popular types of Chief Data Officer jobs are:
What states have the most Remote Chief Data Officer jobs? States with the most job openings for Remote Chief Data Officer jobs include:
What job categories do people searching Remote Chief Data Officer jobs look for? The top searched job categories for Remote Chief Data Officer jobs are:
Remote Chief Data Officer jobs near you
Infographic showing various Remote Chief Data Officer job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% Remote job distribution, with an average salary of $163,165 per year, or $78.4 per hour.
Data Engineer

Data Engineer

Anika Systems

Leesburg, VA • Remote

$117K - $140K/yr

Full-time

Posted 4 days ago

Job description

Anika Systems is seeking a skilled Data Engineer to design, build, and optimize scalable data pipelines and platforms supporting federal clients. This role will play a critical part in enabling enterprise data strategies, supporting Office of the Chief Data Officer (OCDO) initiatives, and delivering high-quality, trusted data for analytics, reporting, and mission operations.
This opportunity is 100% remote. 
The ideal candidate has hands-on experience with ETL/ELT pipelines, XBRL data processing, Apache Iceberg-based architectures, and advanced data optimization techniques such as materialized views and context-aware data engineering. This role also requires proficiency in AI tools and AI-assisted development workflows, along with experience building and deploying CI/CD pipelines for data and analytics platforms.
Key Responsibilities
Data Pipeline Development & ETL/ELT
  • Design, develop, and maintain robust ETL/ELT pipelines to ingest, transform, and deliver data across enterprise platforms.
  • Build scalable data ingestion frameworks for structured and semi-structured data, including XBRL filings and financial datasets.
  • Implement data transformation logic to support analytics, reporting, and regulatory use cases.
  • Ensure data pipelines are reliable, performant, and scalable in cloud environments.
  • Leverage AI-assisted development tools to accelerate pipeline development, testing, and optimization.
Cloud Data Platforms & Iceberg Architecture
  • Develop and manage data solutions leveraging AWS services (e.g., S3, Airflow, DAGs, Glue, Lambda, Redshift).
  • Implement and optimize Apache Iceberg table formats for large-scale, ACID-compliant data lakes.
  • Support lakehouse architectures that unify data lakes and data warehouses.
  • Optimize data storage and retrieval strategies for performance and cost efficiency.
  • Enable data platforms that support AI/ML workloads and downstream generative AI use cases.
CI/CD & DataOps Engineering
  • Design and implement CI/CD pipelines for data pipelines, infrastructure, and analytics code using tools such as GitHub Actions, GitLab CI, Jenkins, or AWS-native services.
  • Automate build, test, and deployment processes for ETL pipelines and data platform components.
  • Implement DataOps best practices, including version control, automated testing, environment promotion, and rollback strategies.
  • Ensure reproducibility, reliability, and governance of data pipeline deployments across environments.
  • Integrate AI-driven testing and monitoring tools to improve pipeline quality and reduce operational risk.
Data Optimization & Performance Engineering
  • Design and implement materialized views and other performance optimization techniques to improve query efficiency.
  • Tune data pipelines and queries for performance, scalability, and cost.
  • Implement partitioning, indexing, and caching strategies aligned to workload patterns.
XBRL & Financial Data Processing
  • Develop pipelines to ingest, parse, and normalize XBRL (eXtensible Business Reporting Language) data.
  • Support regulatory and financial data use cases requiring high accuracy and traceability.
  • Ensure alignment with data standards and validation rules for financial reporting datasets.
Context Engineering & Data Modeling Support
  • Apply context engineering principles to ensure data is enriched with meaningful metadata, lineage, and business context.
  • Collaborate with Data Architects to support data modeling, schema design, and entity relationships.
  • Enable downstream analytics and AI use cases by structuring data for usability, discoverability, and governance.
Metadata, Data Catalog, and Governance Integration
  • Integrate pipelines with enterprise data catalogs and metadata management systems.
  • Support automated metadata capture, lineage tracking, and data quality monitoring.
  • Ensure alignment with data governance frameworks and standards established by OCDO organizations, including AI data readiness and traceability.
Stakeholder Collaboration & Agile Delivery
  • Collaborate with data architects, analysts, and business stakeholders to understand data needs and deliver solutions.
  • Participate in stakeholder listening campaigns, workshops, and data discovery efforts.
  • Work in Agile teams to iteratively deliver data capabilities and enhancements.
  • Contribute to identifying and implementing AI-driven efficiencies and automation opportunities across the data lifecycle.
Required Qualifications
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
  • 5+ years of experience in data engineering, ETL development, or data platform engineering.
  • Strong hands-on experience with:
    • ETL/ELT tools and frameworks
    • AWS data services (S3, Glue, Lambda, Redshift, etc.)
    • Apache Iceberg and modern data lake architectures
  • Experience designing and implementing CI/CD pipelines for data platforms and ETL workflows.
  • Demonstrated proficiency using AI tools and AI-assisted development workflows (e.g., LLM copilots, automated code generation, pipeline optimization tools).
  • Experience processing XBRL or complex financial/regulatory datasets.
  • Proficiency in SQL and Python.
  • Experience implementing materialized views and query optimization techniques.
  • Understanding of data modeling concepts and metadata management.
  • Familiarity with data governance, data quality practices, and data readiness for AI/ML use cases.
  • Ability to work in Agile, DevOps-oriented environments.
  • U.S. Citizenship required; ability to obtain and maintain a federal clearance.
Preferred Qualifications
  • Experience supporting federal agencies such as SEC, DHS, Treasury, or Federal Reserve System.
  • Familiarity with data catalog tools (e.g., Collibra, Alation, ServiceNow).
  • Experience with Apache Spark, Kafka, or other distributed data processing frameworks.
  • Experience enabling data pipelines for AI/ML or generative AI applications.
  • Knowledge of data maturity frameworks (e.g., EDM DCAM, TDWI).
  • Exposure to context engineering or semantic data layer design.
  • AWS or data engineering certifications.
  • Experience with infrastructure-as-code (IaC) tools (e.g., Terraform, CloudFormation) in support of CI/CD pipelines.

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