Chief Data Officer

### **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](https://himalayas.app)