Chief Data Officer (CDO)

Accountabilities:
Define, own, and execute an enterprise-wide data strategy aligned with business objectives and measurable growth outcomes. Translate data vision into action by building teams, roadmaps, infrastructure, and operating models that turn data into a strategic advantage. Partner with product, engineering, marketing, and business teams to identify opportunities where analytics, AI, and machine learning can improve customer value and revenue performance. Personally guide the development, evaluation, and optimization of machine learning and AI models, ensuring solutions deliver measurable impact. Design and establish experimentation frameworks, including A/B testing methodologies, statistical standards, and decision-making processes for scaling successful initiatives. Lead data governance, quality, security, and privacy practices while ensuring compliance with applicable regulations and internal standards. Build and scale a high-performing data organization across data science, analytics engineering, and machine learning functions. Recruit, mentor, and develop data professionals while establishing technical excellence and career growth frameworks. Break down organizational data silos and promote a strong data-driven culture across executive and cross-functional teams. Report on data strategy progress, model performance, experimentation results, and business impact to senior leadership. Requirements Proven experience as a Chief Data Officer, VP of Data, VP of Analytics, or similar senior data leadership role. 10+ years of progressive experience in data, analytics, machine learning, or technology leadership roles, including experience building and scaling teams. Strong hands-on expertise in machine learning and AI, including experience designing, training, evaluating, and improving models. Demonstrated experience creating and managing A/B testing or experimentation frameworks to support data-driven decisions. Proven ability to translate data strategies into measurable business outcomes, ideally connected to revenue growth, customer value, or monetization improvements. Deep understanding of modern data architecture, cloud data platforms, pipelines, MLOps, and enterprise data infrastructure. Experience establishing data governance, security, privacy, and compliance frameworks. Strong executive communication skills with the ability to influence senior stakeholders, leadership teams, and cross-functional partners. Bachelor's degree in a quantitative discipline such as Computer Science, Statistics, Data Science, Engineering, or a related field; advanced degree preferred. Experience in gaming, payments, monetization, technology platforms, or other data-intensive industries is highly desirable. Benefits Comprehensive benefits package including company-paid medical, dental, and vision coverage. Unlimited flexible time off to support work-life balance. Personalized career development roadmap and professional growth opportunities. Access to training, educational resources, and opportunities to expand technical and leadership skills. Opportunity to lead impactful AI and data initiatives within a global technology environment. Collaborative culture focused on creativity, innovation, and meaningful business impact. Supportive workplace that prioritizes employee well-being and long-term success.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
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