Deskripsi Pekerjaan
Are you a visionary leader passionate about architecting transformative data solutions that align with business strategy and drive organizational excellence? Capgemini seeks a Director - Data Delivery Lead to spearhead our data delivery initiatives in Singapore. In this pivotal role, you'll design and execute end-to-end data frameworks that ensure seamless data accessibility, quality, and governance across the enterprise. You'll collaborate with C-suite executives to translate business objectives into scalable data strategies while leading high-performing teams through complex digital transformations. The ideal candidate will leverage cutting-edge technologies to build resilient data ecosystems that fuel innovation, optimize operations, and deliver actionable insights. Join our global powerhouse to shape the future of data-driven decision-making at the intersection of technology and business strategy.
Tanggung Jawab
- Architect and implement end-to-end data delivery frameworks aligned with business objectives
- Lead cross-functional teams of data engineers, analysts, and scientists in executing complex data projects
- Establish enterprise-wide data governance policies and quality assurance protocols
- Collaborate with C-suite stakeholders to define data strategy and roadmap
- Drive innovation through emerging technologies like cloud data platforms and AI/ML integration
- Optimize data operations for scalability, security, and regulatory compliance
- Measure and report on KPIs to demonstrate data delivery impact and ROI
Kualifikasi
- 10+ years of experience in data management with 5+ years in leadership roles
- Proven expertise in designing data architectures and delivery frameworks
- Strong background in data governance, quality management, and compliance
- Experience with cloud data platforms (AWS, Azure, GCP) and modern data tools
- Exceptional stakeholder management and executive communication skills
- Master's degree in Computer Science, Data Science, or related field
- Track record of leading data transformation initiatives in multinational environments