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Chief Data Science Officer Jobs (NOW HIRING)

Brown & Brown Insurance

Chief Data Officer

Plano, TX

$250K - $350K/yr

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 ...

Brown & Brown Insurance

Chief Data Officer

Charlotte, NC · On-site

$250K - $350K/yr

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 ...

Stanford Health Care

Director Engineering - AI/ML

Alto, TX · On-site

$112.39 - $148.91/hr

Act as the primary technical liaison between your engineering team and partners in the Chief Data Science Officer's lab, translating novel research into production-ready platform features. * Engage ...

Mondelez International

$174K - $287K/yr

Make It Possible. Role Description The Data Science Service Lead will play a crucial role in ... MDS Platform teams (Emerging Tech, CTO etc) * MDS Domain/Function Lead and D&A Product Stream Lead ...

Son

Chief Data Officer

Lincoln, NE · On-site

$53.06/hr

JR2026-00022708 Chief Data Officer (Open) Applications No Longer Accepted On (If no date is ... Bachelor's degree in computer science, Information Systems, related field and a minimum of 5 years ...

Nebraska State Jobs

Chief Data Officer

Lincoln, NE · On-site

$53.06/hr

JR2026-00022708 Chief Data Officer (Open) Applications No Longer Accepted On (If no date is ... Bachelor's degree in computer science, Information Systems, related field and a minimum of 5 years ...

Innovizant LLC

Data Scientist

Madison, WI

... data science, data engineering and decision science to provide winning actionable insights ... Chief Data Officer), BASEL-PRO (for achieving compliance with industry requirements of Basel ...

Innovizant LLC

Data Scientist

Madison, WI · On-site

... data science, data engineering and decision science to provide winning actionable insights ... Chief Data Officer), BASEL-PRO (for achieving compliance with industry requirements of Basel ...

janney

The Chief Data Officer will define and execute the firm's enterprise data strategy, affirming data as a practical actionable asset to drive advisor productivity, client outcomes, and business growth.

janney

The Chief Data Officer will define and execute the firm's enterprise data strategy, affirming data as a practical actionable asset to drive advisor productivity, client outcomes, and business growth.

C10 Labs

Please Read Before Applying This is an early-stage, hands-on builder role with a path to Head / Chief Data Scientist as the company scales. We are only considering candidates who: * Have worked in ...

Mercor

Chief Data Scientist

San Francisco, CA · Remote

$70 - $100/hr

Data Science Experts Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams on data science methodology ...

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Chief Data Science Officer information

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$33K

$124.4K

$200.5K

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

As of Jun 23, 2026, the average yearly pay for chief data science officer 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 does a Chief Data Science Officer typically collaborate with other executive leaders to drive data-driven decision making?

A Chief Data Science Officer (CDSO) works closely with other C-level executives, such as the CEO, CTO, and CIO, to integrate data science initiatives into the broader business strategy. This often involves translating complex analytical insights into actionable recommendations for different departments, aligning data projects with organizational goals, and ensuring data governance standards are met. The CDSO also facilitates cross-functional collaboration by leading teams of data scientists, analysts, and engineers, and by communicating the value of data-driven approaches across the company. Effective collaboration at this level ensures that data science becomes a core driver of innovation and competitive advantage.

What is a Chief Data Science Officer?

A Chief Data Science Officer (CDSO) is a senior executive responsible for overseeing an organization's data science strategy and operations. They lead teams of data scientists, set data-driven goals, and ensure that data analytics align with the company's objectives. The CDSO works closely with other executives to integrate data insights into business decision-making, helping drive innovation and competitive advantage. They also oversee data governance, ethics, and compliance, ensuring that data is used responsibly and securely.

What is a CDO salary?

A Chief Data Science Officer (CDO) salary varies based on experience, industry, and location but typically ranges from $150,000 to over $300,000 annually. Senior CDOs with extensive expertise and leadership responsibilities can earn higher compensation, often including bonuses and stock options.

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

To thrive as a Chief Data Science Officer, you need advanced expertise in data science, machine learning, and analytics, usually backed by a graduate degree in a quantitative field and significant leadership experience. Familiarity with big data platforms (like Hadoop and Spark), cloud computing tools (such as AWS or Azure), and proficiency in programming languages like Python or R are typically required. Exceptional strategic vision, communication skills, and the ability to inspire and manage multidisciplinary teams set top candidates apart. These skills are crucial for aligning data initiatives with business goals, driving innovation, and ensuring the organization's competitive edge.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, allowing them to focus on complex problem-solving and strategic insights. While AI tools can augment their work, data scientists are still essential for designing models, interpreting results, and ensuring ethical use of data. The role continues to evolve with a focus on advanced skills in machine learning, programming, and domain expertise.

How much does a chief data officer make?

The salary of a Chief Data Officer (CDO) typically ranges from $150,000 to over $300,000 annually, depending on the company's size, industry, and location. Experienced CDOs with advanced skills in data management, analytics, and leadership can earn higher compensation, often including bonuses and stock options.

What is the highest paid job in data science?

The highest paid roles in data science typically include Chief Data Officer, Chief Data Science Officer, and senior executive positions such as Vice President of Data or Data Director, with salaries often exceeding $200,000 annually. These roles require extensive experience, leadership skills, and expertise in advanced analytics, machine learning, and data strategy.

What is the difference between Chief Data Science Officer vs Data Science Manager?

AspectChief Data Science OfficerData Science Manager
ResponsibilitiesStrategic leadership, setting data science vision, overseeing multiple teamsManaging data science projects, team supervision, project delivery
Required CredentialsAdvanced degrees (Master's/PhD), extensive experience in data science, leadership skillsDegree in data science, statistics, or related field; experience in managing data projects
Work EnvironmentExecutive-level, cross-departmental collaboration, strategic planningOperational role, team management, project execution

The Chief Data Science Officer focuses on strategic leadership and setting the overall data science direction within an organization, while the Data Science Manager handles day-to-day project management and team supervision. Both roles require strong technical backgrounds, but the CDSO operates at a higher strategic level, often collaborating with executive leadership.

More about Chief Data Science Officer jobs
What job categories do people searching Chief Data Science Officer jobs look for? The top searched job categories for Chief Data Science Officer jobs are:
Chief Data Science Officer jobs near you
Infographic showing various Chief Data Science Officer job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Temporary. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $124,409 per year, or $59.8 per hour.
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

Posted 19 days ago

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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