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Data Strategy Jobs in Virginia (NOW HIRING)

Data Scientist

Mclean, VA

$125K - $160K/yr

For our clients, data is a strategic asset. They are looking to become a facts-based, data-driven, customer-focused organization. To help realize this goal, they are leveraging visual analytics ...

Data Scientist

Mclean, VA

$125K - $160K/yr

For our clients, data is a strategic asset. They are looking to become a facts-based, data-driven, customer-focused organization. To help realize this goal, they are leveraging visual analytics ...

Data Architect

Leesburg, VA ยท On-site +1

$64.50 - $83/hr

This role will be instrumental in shaping data strategy, enabling data-driven decision-making, and supporting the establishment and maturation of Office of the Chief Data Officer (OCDO) organizations.

Data Architect

Chester, VA ยท On-site

$118K - $178K/yr

Partner with Data Strategy and AI Governance to operationalize architecture guardrails into delivery standards. Collaboration with Engineering and OT * Work with the OT Data Integration Lead to ...

Data Architect

Chester, VA ยท On-site

$118K - $178K/yr

Partner with Data Strategy and AI Governance to operationalize architecture guardrails into delivery standards. Collaboration with Engineering and OT * Work with the OT Data Integration Lead to ...

Data Strategy & Governance Integration: Work in close collaboration with Data * Governance ... organizations to operationalize metadata management and lineage by * integrating enterprise data ...

Data Strategy & Governance Integration: Work in close collaboration with Data * Governance ... organizations to operationalize metadata management and lineage by * integrating enterprise data ...

Data Lakehouse Architect

Manassas, VA ยท On-site

$63.75 - $82/hr

Thisposition is in support of our SWFTS Data Strategy and Data Pipelineprogram. This role will define thetarget-state architecture for a lakehouse environment built on technologiesincluding Kafka ...

Data Engineer

Mclean, VA

$125K - $160K/yr

For our clients, data is a strategic asset. They are looking to become a facts-based, data-driven, customer-focused organization. To help realize this goal, they are leveraging visual analytics ...

You'll transform data, develop visualizations to assist with understanding, and conduct analysis to make recommendations on data strategies to improve Machine Learning model development. Day-to-day ...

Big Data Architect

Mclean, VA ยท On-site

$64.50 - $83/hr

What You Will Be Doing - Define Big Data strategy, including designing multi-phased implementation roadmaps - Work independently, or as part of a team, to design and develop Big Data solutions - Data ...

Data Engineer

Mclean, VA

$125K - $160K/yr

For our clients, data is a strategic asset. They are looking to become a facts-based, data-driven, customer-focused organization. To help realize this goal, they are leveraging visual analytics ...

You'll transform data, develop visualizations to assist with understanding, and conduct analysis to make recommendations on data strategies to improve Machine Learning model development. Day-to-day ...

Data Engineer

Mclean, VA ยท On-site +1

$125K - $160K/yr

For our clients, data is a strategic asset. They are looking to become a facts-based, data-driven, customer-focused organization. To help realize this goal, they are leveraging visual analytics ...

Data Advisor - SME

Quantico, VA ยท On-site

$180K - $200K/yr

This position serves as a strategic advisor, translating operational and capability development requirements into data- and AI-enabled solutions, and aligning AI/ML efforts with USMC/DoD policies ...

Data Architect

Hopewell, VA ยท On-site

$57 - $73.25/hr

Partner with Data Strategy and AI Governance to operationalize architecture guardrails into delivery standards. Collaboration with Engineering and OT * Work with the OT Data Integration Lead to ...

Data Architect

Quantico, VA ยท On-site

$67.50 - $86.75/hr

Develop and implement enterprise data strategies, governance frameworks, and architecture standards * Design, build, and manage scalable data architectures to support business and mission needs

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Showing results 1-20

Data Strategy information

See Virginia salary details

$23.8K

$110.7K

$205.7K

How much do data strategy jobs pay per year?

As of Jul 13, 2026, the average yearly pay for data strategy in Virginia is $110,710.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,720.00 and $141,017.00 per year, depending on experience, location, and employer.

How much do data strategists make?

Data strategists typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in data management and analytics can earn higher salaries, often exceeding $150,000.

Is 40 too late for data science?

Data strategy professionals and data scientists can enter the field at any age, as skills such as programming, statistics, and domain knowledge are more important than age. Many successful data professionals start or transition into the field later in life, often leveraging prior experience and continuous learning through online courses and certifications. Age is generally not a barrier to developing a career in data science or related roles.

What is a Data Strategy job?

A Data Strategy job focuses on defining and implementing an organization's approach to data management, governance, and utilization. Professionals in this role ensure that data is aligned with business goals, enabling better decision-making and competitive advantage. They work on data policies, frameworks, and analytics strategies while collaborating with stakeholders across IT, business, and data teams. The role often involves assessing data quality, strategic planning for data infrastructure, and identifying opportunities for data-driven innovation.

What is the highest paying data job?

The highest paying data jobs typically include Chief Data Officer, Data Science Director, and Data Engineering Manager roles, which can earn six-figure salaries or higher depending on experience, industry, and location. These positions often require advanced skills in data management, analytics, and leadership, along with relevant certifications or degrees. Compensation varies widely but senior-level roles in large organizations tend to offer the highest salaries in the data field.

What are some typical projects or initiatives a Data Strategy professional works on?

Data Strategy professionals often lead projects related to developing enterprise data roadmaps, improving data quality standards, implementing data governance frameworks, and aligning analytics initiatives with business objectives. They may be involved in launching new data platforms, advising on data privacy compliance, or collaborating on cross-functional teams to ensure data is effectively leveraged for decision-making. The role usually requires partnering with IT, analytics, and business units to coordinate efforts and ensure alignment with organizational priorities.

What does a data strategist do?

A data strategist develops and implements plans to collect, analyze, and utilize data to support business goals. They identify data needs, establish data governance standards, and work with teams to ensure data-driven decision-making using tools like analytics platforms and data management systems.

What are the key skills and qualifications needed to thrive in the Data Strategy position, and why are they important?

To thrive in Data Strategy, you need strong analytical skills, business acumen, experience with data governance, and typically a degree in data science, analytics, or a related field. Familiarity with tools such as SQL, BI platforms (like Tableau or Power BI), and data management systems, along with certifications such as CDMP or DAMA, are often required. Excellent communication, stakeholder management, and problem-solving skills set top professionals apart in this domain. These abilities are vital for bridging technical and business teams to drive actionable strategies and maximize data-driven value for organizations.

What are the most commonly searched types of Data Strategy jobs in Virginia? The most popular types of Data Strategy jobs in Virginia are:
What are popular job titles related to Data Strategy jobs in Virginia? For Data Strategy jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Strategy jobs in Virginia look for? The top searched job categories for Data Strategy jobs in Virginia are:
What cities in Virginia are hiring for Data Strategy jobs? Cities in Virginia with the most Data Strategy job openings:
Chief Data Officer

Chief Data Officer

Brown & Brown Insurance

Virginia Beach, VA โ€ข On-site

$250K - $350K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired today.ย 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".