job description
Join a leading Philippine conglomerate as the SVP/EVP of Data & Artificial Intelligence and drive the future of enterprise data strategy. In this pivotal role, you will define and operationalize a cutting-edge data and AI framework, ensuring alignment with business objectives and technological advancements. Based in the vibrant regions of Bali, you will lead a dynamic team to harness the power of data, transforming insights into actionable strategies that propel the organization forward.
This is a unique opportunity to shape the data-driven future of a major conglomerate, leveraging your expertise in AI, machine learning, and data governance. You will collaborate with cross-functional teams to integrate AI solutions, optimize data infrastructure, and foster a culture of innovation. If you are a visionary leader with a passion for data and AI, this role offers the platform to make a significant impact.
Responsibility
- Develop and execute a comprehensive enterprise data and AI strategy aligned with business goals.
- Lead the design and implementation of scalable data architectures and AI-driven solutions.
- Oversee data governance, ensuring compliance with regulatory standards and best practices.
- Drive the adoption of advanced analytics, machine learning, and AI technologies across the organization.
- Collaborate with executive leadership to identify opportunities for data-driven innovation and growth.
- Build and mentor a high-performing team of data scientists, engineers, and analysts.
- Establish key performance indicators (KPIs) to measure the success of data and AI initiatives.
- Foster partnerships with technology vendors and industry leaders to enhance AI capabilities.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
- Proven experience (10+ years) in data leadership roles, with a focus on AI and machine learning.
- Strong background in data architecture, governance, and advanced analytics.
- Experience leading large-scale data and AI projects in a corporate or conglomerate setting.
- Excellent leadership and team management skills, with a track record of building high-performing teams.
- Deep understanding of regulatory compliance and data security best practices.
- Strong communication and stakeholder management skills.
- Certifications in AI, data science, or related fields are a plus.