Chief Data Officer (CDO)

TheHiveCareers · Virgin Islands, British · posted today ago

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About this role

Job Title: Chief Data Officer (CDO)

Role Summary

The Chief Data Officer is responsible for defining and executing the enterprise data strategy, ensuring data is treated as a strategic asset to drive decision-making, innovation, and business growth. This role oversees data governance, data architecture, analytics, AI/ML initiatives, and regulatory compliance related to data.

Key Responsibilities

1. Data Strategy & Leadership

Define and execute enterprise-wide data strategy aligned with business objectives
Establish data as a core asset for competitive advantage and innovation
Advise executive leadership on data-driven opportunities and risks

2. Data Governance & Quality

Establish data governance frameworks, policies, and standards
Ensure data quality, integrity, lineage, and ownership across the organization
Implement master data management (MDM) practices

3. Data Architecture & Platforms

Oversee design and implementation of modern data platforms (data lakes, warehouses, lakehouse)
Ensure scalability, performance, and accessibility of data systems
Drive integration across enterprise systems

4. Analytics, BI & AI/ML

Lead advanced analytics, business intelligence, and AI/ML initiatives
Enable self-service analytics and data democratization
Deliver insights that drive business performance and innovation

5. Data Privacy, Security & Compliance

Ensure compliance with data protection regulations such as GDPR, CCPA, and industry standards
Partner with security teams to safeguard sensitive data
Manage data risk, ethics, and responsible AI practices

6. Data Monetization & Value Creation

Identify opportunities to monetize data and create new revenue streams
Optimize data usage across business units
Measure and track ROI of data initiatives

7. Culture, Talent & Enablement

Build and lead high-performing data and analytics teams
Promote a data-driven culture across the organization
Upskill business users on data literacy and tools

Qualifications & Experience

Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or related field
15–20+ years of experience in data, analytics, or technology leadership roles
Proven track record of building and scaling enterprise data platforms
Strong expertise in data governance, analytics, AI/ML, and data architecture
Experience working with cross-functional executive teams