AVP/VP, Data Product Manager (Investment Data Cluster), Data Strategy Group

at  GIC Investment

Singapore, Southeast, Singapore -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate21 Jul, 2024Not Specified28 Apr, 2024N/APostgresql,Data Analytics,Requirements Analysis,Data Extraction,Kanban,Data Warehouse,Enterprise Databases,Working Experience,Agile Methodologies,Tableau,Snowflake,Operations,Data Analysis,Excel,Data Models,Visualisation,Communication Skills,ScrumNoNo
Add to Wishlist Apply All Jobs
Required Visa Status:
CitizenGC
US CitizenStudent Visa
H1BCPT
OPTH4 Spouse of H1B
GC Green Card
Employment Type:
Full TimePart Time
PermanentIndependent - 1099
Contract – W2C2H Independent
C2H W2Contract – Corp 2 Corp
Contract to Hire – Corp 2 Corp

Description:

Location:Singapore, SG
Job Function: Data Strategy Group
Job Type: Permanent
Req ID: 15762
GIC is one of the world’s largest sovereign wealth funds. With over 2,000 employees across 11 offices around the world, we invest in more than 40 countries globally across asset classes and businesses. Working at GIC gives you exposure to an extraordinary network of the world’s industry leaders. As a leading global long-term investor, we Work at the Point of Impact for Singapore’s financial future, and the communities we invest in worldwide.

Responsibilities:

WHAT IMPACT CAN YOU MAKE IN THIS ROLE?

You will strive to build a high-performance enterprise data infrastructure, and create a results-driven approach with data products.

WHAT WILL YOU DO AS A DATA PRODUCT MANAGER (INVESTMENT DATA CLUSTER)?

  • Manage and oversee end to end data management operational activities in DSG’s data warehouse. This includes monitor, analyse, investigate, and resolve day-to-day operational incidents and provide advisory to users
  • Oversee data quality management in the warehouse by ensuring the integrity and quality of data, designing quality metrics, and monitoring quality of enterprise data
  • Actively participate in new enterprise data initiatives and projects
  • Proactively work with business (Risk Analysts, BMOs, Quantitative Strategists, end-users, etc.), understanding and analysing the business requirements to enhance our investment data services, solutions and strategies
  • Evaluate business requests for new data and work closely with Data Engineers and relevant stakeholders to implement and support data solutions using best-of-breed technology and methodology
  • Contribute, influence, and review the design of data solutions to ensure they meet both business and operational needs
  • Plan, develop testing strategies and execute end-to-end user acceptance testing of system and data changes in data solutions
  • Incorporate data management best practices into operational workflows
  • Manage and maintain strong relationship with data providers (internal and external) and vendor to ensure continuous support and knowledge for existing and future data needs
  • Provide support in documentation of functional requirements and specifications
  • Provide coaching and guidance to juniors
  • Set up, improve, and streamline data operations processes through analysing systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) for continuous improvements
  • Identify opportunities for streamlining of processes and propose changes for improvements and operational excellence

WHAT QUALIFICATIONS OR SKILLS SHOULD YOU POSSESS IN THIS ROLE?

  • Possess a degree with at least 6 years of working experience, where at least 3 years of hands-on experience is in data management, data analysis, business requirements analysis, data analytics and visualisation within investment and banking industry
  • Good understanding of the principles, key controls and processes relating to data. management as well as data modelling and data integration
  • Agile and fast learner and able to adapt to change
  • Meticulous with operations and work well with details
  • Strong analytical skills and enjoy complex problem solving
  • A good team player with excellent interpersonal and communication skills to interact with diverse stakeholders
  • Experienced with the Systems Development Life Cycle implementation methodology (SDLC) and/or agile methodologies like Scrum and Kanban
  • Familiarity with data warehouse, data models, data management tools and data extraction, data visualisation tools such as SQL, Tableau is preferred
  • Knowledge of using formulas/macros in Excel is advantageous
  • Experience working with enterprise databases using database technologies (MS SQL, Snowflake, and PostgreSQL) and data integration products (e.g. Informatica) is advantageous
  • Experience in economics/finance related courses is preferred


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

IT Software - DBA / Datawarehousing

Software Engineering

Graduate

Investment and banking industry

Proficient

1

Singapore, Singapore