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 Governance 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 designing and implementing effective, cost-efficient and timely data governance products and solutions to enforce the data policies at scale, inclusive but not limited to
- Data Quality Management
- Metadata Management and Data Discoverability
- Data Lineage Transparency
Establish good understanding of investment asset class specific domain knowledge and business processes
Design effective, cost-efficient and timely data products and solutions to meet business goals
Work closely with data architecture, engineering, management teams within Data Strategy Group to deliver data products and solutions
Drive synergy across the solutions for similar data needs from different business units
Develop long and medium-term product roadmap to support data governance and policies 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 ML, NLP and Deep Learning modelling and model management is a plus
Passion for data
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.