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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
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
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
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
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
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
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
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
