- Type
- Full-time
- Department
- Finance
- Experience
- 8+ years
- Closing date
- Today
- Source
- Vincere
Description
About the role
As organizations move toward AI-integrated operations, the demand for elite technical talent has never been higher. I am currently representing a portfolio of clients seeking to fill critical various AI & Data roles in the retail, FMCG, financial services and manufacturing domain . If you are a practitioner in these fields, I invite you to initiate a confidential discussion regarding your professional trajectory.
-
a. Enterprise Data Architect: Design and govern the end-to-end data architecture, ensuring high availability, scalability, and performance across on-premise and cloud-native environments. Architect data models that support complex financial products, including wealth management, high-frequency trading platforms, and retail banking systems. Ensure all architectural designs, governance and regulatory compliance strictly adhere to the necessary regulations
b. Data Scientist: You are the ultimate truth-seeker who finds the signal amidst the noise. You will not just run standard regressions; you will build proprietary intelligence and deep learning models that solve complex, multi-layered business challenges. You thrive in the space where Python meets predictive mastery.
c. Data Analytics Visionary: You are the bridge between data and the boardroom. You possess the rare ability to translate cold variables into high-stakes commercial strategy. By leveraging advanced visualization and SQL mastery, you will make data "speak" to the C-Suite, turning insights into market dominance.
The Successful Candidate
- Strategic Tenure: A minimum of 8–15 years of experience within the IT and Digital sectors, with a significant portion dedicated to leading data-driven initiatives at a middle or senior management level.
- Commercial Acumen: A proven ability to align technical road maps with overarching business objectives, demonstrating how AI and Data architecture translate into tangible ROI and market scalability.
- Stakeholder Management: Exceptional communication skills with a track record of influencing C-suite executives and Board-level stakeholders.
- Architecture & Infrastructure: Comprehensive knowledge of Databases, and cloud-native AI services (AWS, Azure, or GCP), with the ability to build high-availability, scalable systems.
- Advanced Analytics: Mastery of statistical modeling, predictive analytics, and data visualization tools, supported by a fluent command of Python, R, and SQL.
- Governance & Ethics: A sophisticated understanding of AI ethics, data privacy regulations, and the governance frameworks required to manage automated decision-making systems.
- Continuous Innovation: Documented evidence of remaining at the forefront of emerging technologies and industry-standard certifications in AI and Cloud Architecture.
- Language: Good command in Chinese and English
