Deskripsi Pekerjaan
Join Macquarie Group as an Associate Director | Data and AI and lead transformative initiatives at the intersection of technology and finance. In this pivotal role, you'll shape our data-driven future by architecting innovative AI solutions that drive strategic decision-making across global markets. Macquarie empowers you to build a rewarding career where your expertise in data analytics and artificial intelligence directly impacts our organization's success. You'll collaborate with cross-functional teams to translate complex data into actionable insights, fostering a culture of innovation and excellence. Our dynamic environment offers unparalleled opportunities to pioneer cutting-edge technologies while contributing to sustainable growth in the financial services industry.
Tanggung Jawab
- Lead end-to-end implementation of data analytics and AI strategies to drive business objectives
- Oversee a team of data scientists and engineers, providing mentorship and technical direction
- Develop and maintain robust data pipelines ensuring quality, security, and scalability
- Collaborate with stakeholders to identify opportunities for AI-driven solutions
- Translate complex data findings into actionable business recommendations for leadership
- Stay ahead of emerging trends in machine learning, big data, and AI technologies
- Ensure compliance with data governance regulations and ethical AI practices
Kualifikasi
- Bachelor's degree in Computer Science, Data Science, Statistics, or related field (Master's preferred)
- 8+ years of experience in data analytics, AI, or machine learning with 3+ years in leadership
- Expertise in programming languages: Python, R, SQL, and ML frameworks (TensorFlow, PyTorch)
- Proven track record of delivering complex data projects in financial services
- Strong understanding of cloud platforms (AWS, Azure, GCP) and big data technologies
- Exceptional communication skills with ability to articulate technical concepts to diverse audiences
- Strategic mindset with ability to align data initiatives with business goals