Chief Data Officer (CDO)
TheHiveCareers
3h ago
0ManagementVirgin Islands, Britishhimalayas
Chief-Data-OfficerData-StrategyData-GovernanceAnalytics-LeadershipExecutive-LeadershipExecutive
Job Description
Job Title: Chief Data Officer (CDO)Role SummaryThe 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 Responsibilities1. Data Strategy & LeadershipDefine and execute enterprise-wide data strategy aligned with business objectivesEstablish data as a core asset for competitive advantage and innovationAdvise executive leadership on data-driven opportunities and risks2. Data Governance & QualityEstablish data governance frameworks, policies, and standardsEnsure data quality, integrity, lineage, and ownership across the organizationImplement master data management (MDM) practices3. Data Architecture & PlatformsOversee design and implementation of modern data platforms (data lakes, warehouses, lakehouse)Ensure scalability, performance, and accessibility of data systemsDrive integration across enterprise systems4. Analytics, BI & AI/MLLead advanced analytics, business intelligence, and AI/ML initiativesEnable self-service analytics and data democratizationDeliver insights that drive business performance and innovation5. Data Privacy, Security & ComplianceEnsure compliance with data protection regulations such as GDPR, CCPA, and industry standardsPartner with security teams to safeguard sensitive dataManage data risk, ethics, and responsible AI practices6. Data Monetization & Value CreationIdentify opportunities to monetize data and create new revenue streamsOptimize data usage across business unitsMeasure and track ROI of data initiatives7. Culture, Talent & EnablementBuild and lead high-performing data and analytics teamsPromote a data-driven culture across the organizationUpskill business users on data literacy and toolsQualifications & ExperienceBachelor's or Master's degree in Data Science, Computer Science, Engineering, or related field15–20+ years of experience in data, analytics, or technology leadership rolesProven track record of building and scaling enterprise data platformsStrong expertise in data governance, analytics, AI/ML, and data architectureExperience working with cross-functional executive teamsKey CompetenciesStrategic thinking and data-driven mindsetStrong technical and analytical expertiseLeadership and stakeholder influenceGovernance, risk, and compliance awarenessInnovation and problem-solving capabilityOriginally posted on Himalayas
