Chief Technology and Data Officer

Career Guide

A Chief Technology and Data Officer leads an organization’s technology strategy and how data is collected, governed, secured, and used to drive decisions. The role typically oversees engineering, IT, data, analytics, and sometimes cybersecurity, ensuring technology investments deliver business value and reduce risk.

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Key Responsibilities

Set the enterprise technology and data strategy aligned to business goals
Lead technology modernization across applications, infrastructure, and tools
Establish data governance standards for quality, access, and responsible use
Oversee cybersecurity, privacy, and risk management in partnership with security leaders
Guide architecture decisions to improve scalability, reliability, and cost control
Build and lead leadership teams across engineering, IT operations, and data functions
Prioritize the technology and data portfolio and manage budgets and vendor contracts
Create metrics and reporting that link technology outcomes to business performance
Drive adoption of analytics and automation across business functions
Manage incident response readiness and improve operational resilience
Partner with product, finance, legal, and HR leaders to deliver cross company initiatives
Represent technology and data strategy to the board and executive stakeholders

Top Skills for Success

Executive Leadership

Stakeholder Management

Strategic Planning

Financial Management

Organizational Change Management

Communication

Technology Strategy

Enterprise Architecture

Cloud Strategy

Data Governance

Data Platform Strategy

Analytics Strategy

Artificial Intelligence Strategy

Cybersecurity Fundamentals

Risk Management

Vendor Management

Operating Model Design

Talent Development

Career Progression

Can Lead To

Chief Executive Officer Chief Operating Officer Chief Information Officer Chief Data Officer Chief Digital Officer Chief Information Security Officer

Board Member

Transition Opportunities

General Manager Operating Partner

Advisor

Consultant

Common Skill Gaps

Often Missing Skills

Board CommunicationEnterprise Data GovernanceCybersecurity Risk OversightCloud Financial ManagementProduct Operating ModelArtificial Intelligence GovernanceData Value MeasurementMergers And Acquisitions Technology Integration

Development SuggestionsBuild a clear technology and data narrative tied to revenue, cost, and risk. Practice board level updates using simple metrics. Strengthen governance by defining ownership, data access rules, and quality standards. Improve cloud cost control through budgeting, measurement, and accountability. Establish responsible artificial intelligence policies covering privacy, security, and model monitoring.

Market Intelligence Report

Chief Technology and Data Officer is part of the Technology Architecture category.Explore our market intelligence report to see how AI and hiring demand are shifting for these roles.

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Salary & Demand

Median Salary Range

Entry Level$220,000 to $320,000 base salary

Mid Level$300,000 to $450,000 base salary

Senior Level$450,000 to $700,000 base salary

Growth Trend

Strong demand, especially in regulated industries and companies modernizing data platforms, improving cybersecurity, and expanding responsible use of artificial intelligence. Total compensation often includes bonus and long term incentives that can significantly increase pay.

Companies Hiring

Major Employers

AmazonMicrosoftGoogleAppleMetaIBMOracleSalesforceJPMorgan ChaseBank of AmericaWalmartUnitedHealth GroupCVS HealthPfizerComcast

Industry Sectors

Financial ServicesHealthcareRetailTechnologyTelecommunicationsManufacturingInsuranceEnergyGovernmentEducation

Recommended Next Steps

Clarify the scope of the role by documenting ownership of engineering, IT operations, data, analytics, and security

Create a one year roadmap with measurable outcomes for modernization, data quality, and risk reduction

Audit the current data landscape and define data ownership, access rules, and quality targets

Establish a simple set of executive metrics for reliability, delivery speed, security posture, and cost efficiency

Review major vendor contracts and identify opportunities to reduce spend or improve performance

Build a talent plan that addresses leadership gaps and succession for key technology and data roles

Partner with legal and risk teams to update privacy, retention, and responsible artificial intelligence policies

Prepare a board ready communication pack that explains priorities, risks, and progress in plain language