Chief Data Officer (CDO)

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 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