AVP/VP, Data Product Manager, Data Strategy Group

GIC Private Limited
Singapore, Singapore
15 Nov 2022
02 Dec 2022
Job Function
Industry Sector
Finance - General
Employment Type
Full Time
Data Strategy Group
Data Strategy Group (DSG) harnesses and leverages on GIC's most valuable asset - Data, to drive insights, results and solve real business challenges. We ingest, analyze and combine data with context across all industries and asset classes to enable investment decisions and enhance investment process. Together, we strive to build a high-performance enterprise data infrastructure, create results-driven approach with data products and strive to be a data-driven organization.

We are hiring an VP, Data Services Product Manager, this role will play a key role to partner and deliver business stakeholder in delivering enterprise data governance products and solutions.

Join us if you have a passion for data and be part of a team of forward-looking data professionals in building and developing GIC's data foundation and infrastructure. You can make a difference in our data journey to shape our world of investments.

  • You will play a key role in driving and implementing effective, cost-efficient data service and virtualization layer at enterprise scale
  • Establish good understanding of investment asset class specific domain knowledge and business processes
  • Influence business processes and workflows so that they are aligned with data service strategy both in terms of onboarding and usage
  • Design, execute and optimize dataservice strategy, products and solutions to deliver data as a service across the company
  • Work closely with data architecture, engineering, management teams within Data Strategy Group to deliver the outlined data products and solutions.
  • Drive synergy across the solutions for similar data needsfrom different business units
  • Develop processes and roadmap to support data service strategy and initiatives to create sustainable and scalable data usage across the company

  • At least 8 to 10 years of relevant experience in data, finance or asset management industry
  • Bachelor's in Computer Engineering/Science, Data Science or relevant disciplines
  • Possess good knowledge of financial instruments and markets.
  • Experience in data engineering and platform in one or more areas:
    • Major Cloud-based Data Platforms (Snowflake, Redshift, RDS)
    • Data Lake/Big Data Technology (Cloudera, Databricks, EMR)
    • Data Virtualization Technology (Denodo)
    • Data Streaming Technology (Kafka, TIBCO)
    • Business Intelligence (Tableau, PowerBI)
    • Search Technology(Solr, Fusion)
    • O365 Suite
  • Experience with machine learning, NLP and deep learning modelling and model management is a plus
  • Ability to engage with business, gather requirements on business needs and translating them into data solutions
  • Strong communication and people engagement skills to interact internally within team and externally across functions to design and develop solutions
  • Self-driven, pro-active and great sense of purpose to relook existing data usage and implement innovation to strive for greater quality and efficiency of data solutions
  • Exposure to financial services industries is a huge bonus
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