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