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Executive Chief Data Officer Jobs (NOW HIRING)

... Chief Data Officer and other executives within the Fan Engagement and DTC & Partnerships groups ensuring seamless day-to-day execution and alignment with business priorities. This role requires ...

Reporting directly to the CEO and serving as a strategic advisor to executive leadership and the ... This executive will lead the transformation of the organization into a digitally enabled, data ...

... Chief Data Officer (CDO) business and function leads to review and assess the Data Quality (DQ) Framework and implement continuous improvements and raise the Data Maturity level across the Group • ...

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Executive Chief Data Officer information

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$58K

$151.3K

$306.5K

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

As of Aug 7, 2026, the average yearly pay for executive chief data officer in the United States is $151,302.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $182,500.00 per year, depending on experience, location, and employer.

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

AspectExecutive Chief Data OfficerData Governance Manager
CredentialsAdvanced degrees in data management, business, or IT; executive leadership experienceBachelor's or master's in data management, information systems, or related fields; certifications like CDMP
Work EnvironmentStrategic leadership at the executive level, overseeing entire data initiativesOperational role focused on implementing data policies and governance frameworks
Employer & Industry UsageLarge corporations, finance, healthcare, tech firmsOrganizations with formal data governance programs across industries
Search & Comparison IntentUnderstanding high-level data leadership rolesDetails on data governance and compliance responsibilities

The Executive Chief Data Officer focuses on strategic data initiatives and overall data management at the executive level, while the Data Governance Manager handles the implementation and enforcement of data policies. Both roles require data management expertise, but differ in scope and seniority.

How does an executive chief data officer typically collaborate with other C-suite leaders to drive data-driven decision making?

An Executive Chief Data Officer (CDO) works closely with fellow C-suite executives—such as the CEO, CIO, and CFO—to align data strategies with overall business objectives. This collaboration often involves translating complex data insights into actionable business recommendations, setting organization-wide data governance policies, and ensuring data initiatives support key company goals. The CDO also helps foster a data-driven culture by advocating for data literacy and facilitating cross-departmental projects that leverage analytics to improve processes and outcomes.

What are the key skills and qualifications needed to thrive as an executive chief data officer, and why are they important?

To thrive as an Executive Chief Data Officer, you need deep expertise in data management, analytics, governance, and a strong background in computer science or related fields, often supported by an advanced degree. Familiarity with enterprise data platforms, cloud technologies, data privacy regulations, and certifications such as CDMP (Certified Data Management Professional) are highly valuable. Strategic vision, leadership, cross-functional collaboration, and strong communication skills set leaders apart in this position. These competencies are vital for aligning data strategy with business goals, ensuring data integrity, and driving innovation across the organization.

What is an executive chief data officer?

Executive Chief Data Officers (CDOs) are senior executives responsible for overseeing an organization's data strategy, governance, management, and utilization. They ensure that data assets are effectively leveraged to drive business value, innovation, and compliance with relevant regulations. CDOs collaborate with other leaders to align data initiatives with organizational goals and foster a data-driven culture. Their role often includes data quality, privacy, analytics, and developing policies for data usage across the company.
What cities are hiring for Executive Chief Data Officer jobs? Cities with the most Executive 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 Executive Chief Data Officer jobs? States with the most job openings for Executive Chief Data Officer jobs include:

Data Scientist Lead with Security Clearance

Venatore

Tampa, FL • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago


Job description

About Us
Venatôre is a mission-driven government contractor based in Tampa, FL, supporting federal and civilian agencies with secure cutting-edge technology, cybersecurity, and mission support services. Our teams are trusted in demanding environments because we integrate with client missions, combining technical depth, operational precision, and innovative thinking to deliver meaningful results where they matter most. About the Job
The Data Scientist Lead is responsible for leading the organization's data science, data engineering, and analytics functions in support of mission-critical military operations. This senior technical leadership role oversees the design, development, and operationalization of advanced data analytics, artificial intelligence, and machine learning capabilities that enhance data-driven decision-making across the command. Working closely with senior government stakeholders, including the Chief Data Officer (CDO) and Executive Data Officer (XDO), the Data Scientist Lead translates operational requirements into scalable technical solutions while providing strategic direction, technical oversight, and mentorship to a multidisciplinary team. This position requires the ability to manage multiple priorities in a dynamic, mission-focused environment and may require occasional domestic and international travel. Responsibilities Leadership & Strategic Oversight * Lead and provide technical oversight for data engineering, data science, analytics, and predictive analytics teams in support of operational mission objectives.
* Establish strategic priorities for data management, advanced analytics, AI/ML, and data engineering initiatives.
* Serve as the senior technical advisor on data science, machine learning, and analytics capabilities.
* Mentor and develop technical staff while promoting best practices, innovation, and continuous improvement.
* Manage multiple concurrent projects, priorities, and deliverables in a fast-paced operational environment.
Data Science & Artificial Intelligence * Lead the development, validation, deployment, and operationalization of advanced statistical models and AI/ML solutions.
* Apply supervised, unsupervised, reinforcement learning, and generative AI techniques, including Large Language Models (LLMs) and multimodal AI, to solve complex mission challenges.
* Guide the full data science lifecycle, including data exploration, feature engineering, model development, validation, deployment, and performance monitoring.
* Evaluate emerging AI and machine learning technologies for mission applicability and operational effectiveness.
Data Engineering & Architecture * Oversee the design, implementation, and maintenance of secure, scalable, and fault-tolerant data pipelines supporting structured and unstructured data.
* Direct ETL/ELT processes, data integration, data warehousing, and modern data lake/lakehouse architectures.
* Ensure data quality, governance, accessibility, and compliance throughout the data lifecycle.
* Support enterprise data management strategies and architecture modernization initiatives.
Stakeholder Engagement & Mission Support * Collaborate with the USCENTCOM Chief Data Officer (CDO), Operations Directorate Executive Data Officer (XDO), and other government stakeholders to define operational data requirements.
* Participate in governance boards, technical working groups, and strategic planning forums.
* Translate complex technical findings into clear, actionable recommendations for senior military leadership and non-technical stakeholders.
* Ensure analytical capabilities directly support operational planning, mission execution, and strategic decision-making.
Analytics & Technology * Guide the use of SQL, Python, R, and other analytical tools to develop data-driven solutions.
* Oversee implementation and utilization of visualization platforms such as Power BI, Tableau, Qlik, Palantir Foundry, and Maven Smart System (MSS).
* Support enterprise analytics platforms, distributed data processing technologies, and database environments including Apache Spark, Databricks, Hadoop, Oracle, PostgreSQL, MySQL, and Microsoft SQL Server.
* Promote adoption of modern analytics methodologies and industry best practices.
Required Qualifications * U.S. Citizenship is required.
* Active Top Secret security clearance with SCI eligibility.
* Bachelor's degree in Data Science, Analytics, Computer Science, Information Technology, or a related technical discipline.
* More than 10 years of progressively responsible experience in data science, analytics, or data engineering, including significant leadership experience.
* Demonstrated experience supporting Military, Federal Government, or Intelligence Community organizations.
* Proven experience gathering, implementing, and managing data science requirements for senior government stakeholders.
* Expertise developing and deploying advanced AI/ML solutions using frameworks such as TensorFlow, PyTorch, and Scikit-learn.
* Advanced proficiency in Python and/or R for data engineering, automation, analytics, and machine learning development.
* Experience designing and maintaining ETL/ELT pipelines, data warehouses, and data lake/lakehouse environments.
* Experience with enterprise data visualization and analytics platforms, including Power BI, Tableau, Qlik, Palantir Foundry, or Maven Smart System (MSS).
* Experience working with distributed data processing technologies such as Apache Spark, Databricks, and Hadoop.
* Experience administering or utilizing relational database platforms including SQL Server, Oracle, PostgreSQL, and MySQL.
* Strong written and verbal communication skills with demonstrated experience briefing senior military or government leadership.
* Ability to travel occasionally to domestic and international locations.
Preferred Qualifications * Master's degree in Data Science, Computer Science, Analytics, Information Technology, or another related technical discipline.
* Experience implementing enterprise data and analytics solutions within Azure, AWS, or Google Cloud environments.
* Strong knowledge of Department of Defense data strategies, governance frameworks, cybersecurity requirements, and information assurance standards.
* Experience with ESRI ArcGIS technologies and geospatial analytics.
* Demonstrated success leading cross-functional technical teams in fast-paced operational environments.
* Experience supporting AI/ML modernization initiatives within Department of Defense or Intelligence Community organizations.
Benefits
Venatôre offers a competitive benefits package designed to support the well-being of our employees, including: * Paid Time Off (PTO)
* 10 Federal Holidays
* 401(k) with company matching
* Medical, dental, and vision insurance
* Paid military leave
Venatôre is a woman owned small business and an equal opportunity employer. We consider qualified applicants without regard to disability or protected veteran status.