Job
Description
Strategic Leadership: Develop and implement a comprehensive AI & Cloud strategy that aligns with the company s overall business objectives. Lead the vision and execution of AI and Cloud initiatives, ensuring they deliver measurable business value. Stay current with the latest trends, technologies, and best practices in AI, Cloud, and related fields, and assess their potential for innovation and application to the company s product offerings. AI & Cloud Solutions Implementation: Oversee the end-to-end execution of AI and Cloud-based solutions, ensuring that products are scalable, secure, and reliable. Work with internal teams to design, implement, and continuously optimize AI algorithms, machine learning models, data pipelines, and cloud architecture. Ensure seamless integration of AI capabilities into Cloud environments (e.g., AWS, Azure, Google Cloud) to enhance product functionality and performance. Cross-Functional Collaboration: Collaborate closely with the CTO, product teams, and engineering leadership to define and prioritize AI & Cloud initiatives within the product roadmap. Partner with data scientists, software engineers, and architects to drive the development of AI-driven features and Cloud infrastructure. Foster strong relationships with key stakeholders, including customers, to understand their AI and Cloud needs and translate them into actionable strategies. Team Leadership & Development: Build, manage, and mentor a high-performing team of AI experts, cloud architects, and engineers. Provide technical leadership, guidance, and coaching to the team while promoting a collaborative, innovative, and results-oriented culture. Promote continuous learning and professional development to ensure the team stays on the cutting edge of AI and Cloud technologies. Governance & Best Practices: Establish governance processes, best practices, and methodologies for AI and Cloud solution development and implementation. Ensure adherence to security, compliance, and ethical standards related to AI and Cloud technologies. Monitor performance, scalability, and cost-efficiency of AI models and Cloud resources, ensuring that they meet business and customer expectations. Metrics & Reporting: Define key performance indicators (KPIs) for AI & Cloud initiatives and track progress against established goals. Provide regular updates and reports to senior leadership on the status of AI and Cloud initiatives, including risks, challenges, and opportunities. Performance Optimization: Define KPIs to measure AI strategy success. Monitor and optimize implemented solutions. Facilitate AI adoption through change management plans.
