Chief Data Officer (CDO)

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

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