Chief Data Officer

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