Chief Data Officer

Role Description The Chief Data Officer (CDO) is a full-time remote role responsible for defining and executing the organization’s data strategy. This role oversees enterprise data governance, data management, and data quality initiatives to ensure data is accurate, secure, and usable across the business. The CDO partners with executive leadership and cross-functional teams to identify high-impact data opportunities, prioritize data projects, and align data efforts with organizational goals. Day-to-day responsibilities include leading data teams, setting standards and policies, monitoring data performance metrics, and driving adoption of data tools and best practices. The CDO also promotes a culture of data literacy, supports advanced analytics and data science initiatives, and ensures compliance with relevant data regulations and industry standards.

Qualifications

Candidates should possess strong Data Governance skills, including experience developing policies, standards, and frameworks for ethical, secure, and compliant data use. Candidates should possess robust Data Management capabilities, such as overseeing data architecture, metadata management, master data management, and data integration across systems. Candidates should possess expertise in Data Quality, including establishing quality metrics, remediation processes, and continuous improvement practices for enterprise data assets. Candidates should possess advanced Data Science and Analytical Skills, including the ability to guide analytics, modeling, and insight generation that support strategic decision-making. Demonstrated leadership experience managing data teams and cross-functional initiatives at an enterprise level. Strong communication and stakeholder management skills, with the ability to translate complex data concepts into clear business value. Experience with modern data platforms, cloud technologies, and BI/analytics tools. Bachelor’s degree in a relevant field (e.g., Data Science, Computer Science, Information Systems, Statistics, Business); an advanced degree is beneficial. Experience in a senior data or analytics leadership role (e.g., CDO, Head of Data, VP Analytics) is highly preferred.