Description review
Chief Data Officer (CDO)
TheHiveCareers · Jamaica · back to the listing
HR standards
35/100
poor
Title ↔ description
98/100
strong
Reads as
Unclear
no confident match
What the listing never says
- 31 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
- No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity
The listing, marked up
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+ years1 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
Key Competencies
• Strategic thinking and data-driven mindset
• Strong technical and analytical expertise
• Leadership and stakeholder influence
• Governance, risk, and compliance awareness
• Innovation and problem-solving capability
Originally posted on Himalayas
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+ years1 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
Key Competencies
• Strategic thinking and data-driven mindset
• Strong technical and analytical expertise
• Leadership and stakeholder influence
• Governance, risk, and compliance awareness
• Innovation and problem-solving capability
Originally posted on Himalayas