Senior Director of AI Strategy

Job Description

Company Description Rowad Group diagnoses and designs revenue systems for B2B companies by tracing the entire sales chain, from first contact to cash, using the company’s own data. The firm pinpoints where revenue leaks occur, quantifies their impact, and prioritizes what to fix first through a structured Revenue Diagnostic delivered in under four weeks. Rowad focuses on process before tooling and remains independent from major CRM platforms, ensuring unbiased recommendations. Following the Diagnostic, Rowad designs and implements revenue systems within clients’ existing tools and teams, working with B2B companies across Europe from its base in Madrid in both English and Spanish.
Role Description The Senior Director of AI Strategy is a full-time, remote role responsible for defining and executing Rowad Group’s AI vision across revenue diagnostics and system design. This role leads the development of AI-driven methodologies for identifying revenue bottlenecks, including pattern recognition, predictive modeling, and advanced analytics using client data. The Senior Director partners with revenue strategy, product, and engineering teams to embed AI capabilities into diagnostic workflows, reporting, and decision checkpoints. Day-to-day activities include overseeing AI research and experimentation, setting technical standards, guiding data strategy, and ensuring that AI solutions are ethical, explainable, and aligned with client needs. The person in this role will manage cross-functional initiatives, mentor AI and data practitioners, and represent AI strategy in executive discussions with clients and internal stakeholders.
Qualifications

• Strong foundation in Computer Science, with the ability to architect scalable, secure AI solutions and oversee technical implementation.
• Expertise in Machine Learning and Pattern Recognition to design, train, and evaluate models that detect revenue bottlenecks and predict performance.
• Advanced skills in Data Science and Analytics to structure complex datasets, build insightful dashboards, and derive actionable recommendations.
• Proven experience leading AI or data strategy in B2B or revenue-focused environments, ideally in consulting, SaaS, or enterprise operations.
• Experience building and guiding multidisciplinary teams, with a track record of mentoring and developing AI, data, and engineering talent.
• Ability to translate technical concepts into clear business language, influencing senior stakeholders and supporting data-informed decisions.
• Familiarity with cloud platforms, data governance, model lifecycle management (MLOps), and responsible AI practices.
• Master’s or PhD in Computer Science, Data Science, AI, or a related field; equivalent practical experience will be considered.
• Fluency in English; Spanish proficiency is beneficial for collaboration with European clients.