Data Science Product Manager for AI Innovation

3 weeks ago


Singapore DBS Bank Limited Full time

**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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