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Chief Data Strategy Officer
Role Description The Chief Data Strategy Officer is a full-time, remote executive role responsible for defining and leading the company’s data vision, strategy, and governance. This role oversees the development and implementation of enterprise-wide data initiatives, including data architecture, analytics capabilities, and policies that enable secure, ethical, and effective use of data. Day-to-day responsibilities include collaborating with executive leadership to align data priorities with business objectives, guiding cross-functional teams on data-driven decision-making, and evaluating opportunities for data monetization and innovation. The Chief Data Strategy Officer will establish key performance indicators for data programs, manage strategic partnerships with technology and data providers, and ensure compliance with relevant regulations and industry standards. The role also involves mentoring leaders, promoting a strong data culture, and communicating strategic insights to stakeholders at all levels.
Qualifications
Strategic Planning and Business Planning skills to define, communicate, and execute a comprehensive data strategy aligned with organizational goals. Analytical Skills to interpret complex data sets, evaluate performance metrics, and inform executive-level decisions. Finance expertise to assess the economic value of data initiatives, develop budgets, and manage investments in data platforms and analytics. Executive Management experience to lead cross-functional teams, influence senior stakeholders, and drive organizational change around data-driven practices. Proven track record in data strategy, data governance, or analytics leadership within medium to large organizations. Strong understanding of data architecture, business intelligence, and regulatory considerations related to data privacy and security. Excellent communication and stakeholder management skills, with the ability to translate complex data concepts into clear business narratives. Advanced degree in business, data science, information systems, or a related field, or equivalent experience. Experience working in remote or distributed teams, with the ability to collaborate across time zones and cultures. Commitment to inclusive, ethical, and non-discriminatory use of data in decision-making and product development.