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Chief Data Analytics Jobs in Virginia (NOW HIRING)

WiSC Enterprises, LLC

Chief Data Architect

Mclean, VA · On-site

$64.50 - $83/hr

The Chief Data Architect leads the design and implementation of enterprise data architecture and ... This role provides technical leadership for large-scale data integration, analytics, visualization ...

WiSC Enterprises, LLC

Chief Data Architect

Mclean, VA · On-site

$64.50 - $83/hr

Overview The Chief Data Architect leads the design and implementation of enterprise data ... This role provides technical leadership for large-scale data integration, analytics, visualization ...

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.

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 ...

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 ...

Maximus

Senior Engineer - Data Analytics

VA · On-site +1

$106K - $144K/yr

Enterprise Data Services is a team within Maximus aligned under the Office of the Chief Data Information Officer. Primarily engaged in building and supporting data, analytics, and business ...

ACES Group LLC

DoW CIO Data Analyst

Alexandria, VA · On-site

S Citizens only ACES is seeking a highly skilled Qlik Sense Data Analyst to support the DoW CIO at ... Experience with data storage, data management and data analytics/trend analysis. 5+ years of ...

Now CFO

CFO Consultant

Richmond, VA · On-site

Provide strategic guidance on technology investments and data analytics * Develop and implement ... CFO consulting team. #ZR #IND2

Citizant

Senior Data Protection Analyst

Chantilly, VA · On-site

$88K - $112K/yr

In this role, you will support the Office of the Chief Data Officer (CDO) and collaborate closely ... Strong analytical, documentation, and communication skills, with the ability to translate data ...

Citizant Inc

Senior Data Protection Analyst

Haymarket, VA · On-site

$165K - $175K/yr

In this role, you will support the Office of the Chief Data Officer (CDO) and collaborate closely ... Strong analytical, documentation, and communication skills, with the ability to translate data ...

Analytic Services Inc

Data Analyst

Alexandria, VA

In this role, you will leverage data analytics, business intelligence, and reporting expertise to ... Collaborate with internal and external stakeholders to address DoW CIO data and reporting ...

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Chief Data Analytics information

How much does a chief data analyst make?

A chief data analyst typically earns between $80,000 and $150,000 annually, depending on experience, industry, and location. Senior roles may include bonuses and benefits, and proficiency in data tools like SQL and Python 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.

What is a CDO salary?

A Chief Data Officer (CDO) salary varies based on experience, industry, and location but typically ranges from $150,000 to over $300,000 annually. CDOs often have strong backgrounds in data management, analytics, and leadership, and may receive bonuses or stock options as part of their compensation package.

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 and support strategic decision-making within an organization. They develop data models, create reports, and use tools like SQL and data visualization software to communicate insights to stakeholders. Strong analytical skills and knowledge of data management are essential for this role.
What are popular job titles related to Chief Data Analytics jobs in Virginia? For Chief Data Analytics jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Chief Data Analytics jobs in Virginia look for? The top searched job categories for Chief Data Analytics jobs in Virginia are:
What cities in Virginia are hiring for Chief Data Analytics jobs? Cities in Virginia with the most Chief Data Analytics job openings:
Chief Data Analytics jobs near you
Chief Data Officer

Chief Data Officer

Brown & Brown Insurance

Virginia Beach, VA • On-site

$250K - $350K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Built on meritocracy, our unique company culture rewards self-starters and those who are committed to doing what is best for our customers.

Brown & Brownisseekinga Chief Data Officerto join our growing team! This role offers a hybrid work arrangement and can be based out of our offices in Plano, Charlotte, Maryland, Washington, DC, or Virginia.

The Chief Data Officer (CDO) is a senior executive responsible for defining, building, and scaling the enterprisewide data strategy. Reporting directly to the Chief Information Technology Officer (CITO), this leader will develop the vision, strategy, and execution plan for a modern data platform, establish the analytics workbench, and ensure the organization's data foundation is robust, trusted, and ready to support AIenabled capabilities.

The CDO must bring a strong AIfirst mentality, anticipating how data will fuel emerging AI use cases and ensuring the enterprise is prepared for rapid advancements in automation, intelligence, and decisioning.
The ideal candidate combines deep technical expertise with a business enablement mindset, ensuring data capabilities translate into measurable value, operational efficiency, and improved customer outcomes.

How You Will Contribute:

  • Develop and champion an enterprisewide data strategy aligned with business objectives.

  • Establish a forwardlooking perspective on how data will enable and scale AI across the organization.

  • Promote a culture that values data quality, accessibility, and responsible use.

  • Develop and champion an enterprisewide data strategy aligned with business objectives.

  • Establish a forwardlooking perspective on how data will enable and scale AI across the organization.

  • Promote a culture that values data quality, accessibility, and responsible use.

  • Partner with business leaders to translate data capabilities into tangible value.

  • Identify and prioritize highimpact data initiatives across operations, product and customer experience.

  • Ensure the data strategy aligns with business strategy, regulatory requirements, and market dynamics.

  • Own and mature the enterprise data governance framework, ensuring data quality, compliance, security, and ethical use.

  • Establish policies, standards, and operating models that support trusted, wellmanaged data across the organization.

  • Lead highperforming teams across data architecture, data engineering, and platform engineering.

  • Define architectural standards that ensure scalability, interoperability, and resilience.

  • Collaborate with technology and business leaders to ensure data capabilities meet evolving needs.

  • Ensure the data ecosystem is optimized to support AI and machine learning initiatives led by other teams.

  • Anticipate future AI requirements and proactively evolve data structures, pipelines, and governance.

  • Evaluate emerging data and AI technologies to keep the organization ahead of the curve.

  • Serve as a strategic advisor to the CITO and executive leadership on datadriven opportunities.

  • Build strong crossfunctional relationships to ensure alignment, adoption, and measurable outcomes.

  • Inspire and mentor teams, fostering a culture of innovation, accountability, and continuous improvement.

Skills & Experience to be Successful:

  • 15+ years of progressive experience in data, analytics, engineering, or related fields, including 5+ years in a senior executive or CDOlevel role.

  • Proven success building and scaling enterprise data platforms and modern data architectures.

  • Deep expertise in data governance, data engineering, analytics enablement, and strong familiarity with AI/ML concepts.

  • Demonstrated ability to operate in a fastpaced, outcomesdriven environment with a strong bias for action.

  • Strong business acumen with a track record of enabling measurable business value through data.

  • Preferred: Experience in the insurance industry, including risk, and regulatory considerations.

  • Exceptional communication, leadership, and stakeholdermanagement skills.

  • Experience driving organizational change and building datadriven cultures.

  • Strong understanding of regulatory, ethical, and security considerations related to data and AI.

Pay Range

$250k - $350k Annual

The pay range provided above is made in good faith and based on our lowest and highest annual salary or hourly rate paid for the role and takes into account years of experience required, geography, and/or budget for the role.

Teammate Benefits & Total Well-Being

We go beyond standard benefits, focusing on the total well-being of our teammates, including:

  • Health Benefits: Medical/Rx, Dental, Vision, Life Insurance, Disability Insurance
  • Financial Benefits: ESPP; 401k; Student Loan Assistance; Tuition Reimbursement
  • Mental Health & Wellness: Free Mental Health &Enhanced Advocacy Services
  • Beyond Benefits: Paid Time Off, Holidays, Preferred Partner Discounts and more.

Not reflective of all benefits. Enrollment waiting periods or eligibility criteria may apply to certain benefits. Benefit details and offerings may vary for subsidiary entities or in specific geographic locations.


Recruiting Vendor Disclosure Statement

Brown & Brown does not accept unsolicited resumes from external recruiters, recruitment vendors or employment agencies ("Recruiting Vendors"). Recruiting Vendors must have a valid written agreement and received prior written authorization from an authorized Brown & Brown representative before submitting candidates for any publicly posted role. Any unsolicited resumes submitted to Brown & Brown or its employees become the property of Brown & Brown, and no fees will be paid for such submissions. Additional information regarding this policy can be found on our careers page.

The Power To Be Yourself

As an Equal Opportunity Employer, we are committed to fostering an inclusive environment comprised of people from all backgrounds, with a variety of experiences and perspectives, guided by our Diversity, Inclusion & Belonging (DIB) motto, "The Power to Be Yourself".

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