Responsibilities:
- Lead the creation of advanced information and analytics products within a global organization. Proven experience in successfully delivering these products across organizations with varying levels of analytics maturity, engaging with business leaders to drive analytics-informed decision-making.
- Serve as a thought leader in data architecture, overseeing the design and delivery of data-analytics platforms for on-premise, cloud, and hybrid environments.
- Demonstrate state-of-the-art expertise in data preparation, data insights, and visualization (e.g., BI tools), as well as advanced predictive analytics using AI, ML, and deep learning.
- Manage data governance to ensure analytics products meet ethical standards and maintain strong controls.
- Act as a visionary in information and analytics, strategically partnering internally and externally to deliver best-in-class analytics products to meet business needs.
- Partner with business units to shape the analytics agenda and establish a roadmap for data and analytics adoption.
- Build, mentor, and lead a global team of analytics and data experts capable of driving digital transformation.
Skills, Experience, and Qualifications:
- Master’s degree in a quantitative field (e.g., Computer Science, Statistics) or a Bachelor’s degree with 10 years of relevant data experience.
- Background in Financial Services or related consumer-centric industries preferred.
- Strong understanding of fundamental data concepts (data modeling, data pipelines, data quality, lineage) and data warehousing methodologies, with experience in modern data architecture.
- Expertise in cloud platforms, especially AWS (e.g., Redshift, EMR, RDS, Athena, Glue).
- Proficient in DataOps, AI and MLOps methodologies, and hands-on experience with CI/CD, Jenkins, Ansible, DevOps processes, and enterprise integration patterns.
- Experience in building and maintaining scalable microservices, server-side APIs, and RESTful services.
- Skilled in Python 3, Linux/Unix Shell Scripting, containerization, and Spark or similar big data processing tools.
- Strong business acumen, with the ability to apply analytics to solve business challenges and drive KPIs.
- Proven ability to engage and influence senior executives, manage complex data frameworks, and implement change management processes.
- Ability to mentor and guide teams and stakeholders on data management best practices.
- Experience with agile methodologies and managing multiple projects, with strong planning and reporting skills.
- Able to make independent decisions aligned with corporate philosophy, ethics, compliance, and risk management standards.
Those who are keen for the role and would like to discuss the opportunity further, please click "Apply Now" or email Kin Long at [email protected] with your updated CV.
Only shortlisted candidates will be responded to, therefore if you do not receive a response within 14 days, please accept this as notification that you have not been shortlisted.
Morgan McKinley Pte Ltd
EA Licence No: 11C5502 | EAP Registration No: R2095054
