Data Science Product Manager for AI Innovation
3 weeks ago
**DBS Bank Limited: A Leader in Financial Technology**
As a dynamic and innovative financial institution, DBS Bank Limited is committed to harnessing the power of Artificial Intelligence (AI) to drive business growth and enhance customer experiences. We are currently seeking a highly skilled Data Science Product Manager to join our team and lead the development of cutting-edge AI products that meet the evolving needs of our customers.
**About the Role**
- The successful candidate will be responsible for defining and shaping product strategies that effectively drive AI industrialization across the Data Chapter, aligning with stakeholder requirements and maximizing impact on features.
- This role involves leading the development of products with a team of developers, fostering collaboration and driving efficient execution to deliver impactful features on schedule.
- The candidate will champion data analytics user needs, ensuring product decisions are informed by user feedback and empirical data by building reports, data management, and maintaining dashboards.
- This role requires bridging technical gaps by integrating products with other ADA tooling (ML development & deployment tools) across the ML lifecycle, enabling improved data insights and reducing toil for ALAN users.
- The successful candidate will implement features and functionality for AI Governance in products, ensuring a deep understanding and compliance with audit and MAS requirements.
- Built, supports, and maintains EVP data community initiatives, fostering quality networking and providing a knowledge-sharing platform for Data Chapter members.
**Requirements**
- Technical Proficiency: 3-5 years experience
- Software Development: Proven background in software development with expertise in developing systems and products in the financial services industry from reputable education programs.
- Programming Languages: Proficient in R, Python, SQL, and web technologies.
- Data Lake Technologies & Architectures: Strong understanding of data lake technologies and architectures.
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