AVP, Data & Process Assurance - PE (Hybrid)

GIC Private Limited; Singapore; Hybrid; SGD 180,000 - 300,000; Full time

Job summary

GIC is seeking an AVP for Data & Process Assurance in Investment Services Management (Private Equity) based in Singapore. The role focuses on automating data workflows, building AI-enabled data processing capabilities, and driving data quality across the PE portfolio.

You will partner with global deal teams and technology partners to implement scalable governance and reporting. The ideal candidate has 6+ years in data governance within financial services, strong coding skills, and experience

Qualifications

• 6+ years relevant working experience in data governance with data analytics function of a financial institution – asset management, fund administration or related industry preferred.
• Proficiency in coding (e.g., Python, SQL) and ability to work with large datasets.
• In-depth experience with AI/LLM tools to build skills, preferably in data processing, workflow automation and building dashboards.
• Knowledge of Data Governance concepts such as Data Dictionaries, Critical Data Elements (CDEs), Data Lineage, and Data Quality Monitoring.
• Experience in data quality management, risk and controls, exception handling and issue/anomaly detection.
• Analytical skills; able to resolve business problems with well-structured, meticulous analyses.
• Strong learning agility and ability to thrive in a fast-paced environment, handling multiple requests while managing priorities.
• Demonstrate project management experience, with the ability to plan, coordinate, and deliver cross-functional initiatives involving multiple stakeholders and departments.

Responsibilities

• Design, build, and own anomaly-detection and data quality frameworks, controls and dashboards across PE's investment and portfolio data.
• Incorporate AI tools to build skill-based / automated workflows around detection, flagging and resolution.
• Own and maintain sustainable data governance documentation, controls and audit trails to support data quality assurance as the data footprint grows.
• Lead end-to-end data issue management: assess and prioritize data issues, perform root cause analysis, conduct thematic reviews, and drive remediation.
• Perform control testing to validate the design and operating effectiveness of data quality and governance controls, documenting results and tracking remediation to closure.
• Act as subject matter expert in process governance: define standards, document procedures and establish controls for consistency, scalability and accuracy.
• Track and report KRIs to Team Lead and analyze trends to flag control weaknesses.
• Proactively surface risks, data gaps and inefficiencies, and recommend pragmatic solutions.
• Act as trusted partner to deal teams globally, translating business and reporting needs into practical data and process solutions.
• Project-manage cross-functional initiatives, coordinating stakeholders across PE, Technology/Data, and other departments, and upholding timelines and quality.

Skills

Data governance

Data analytics

Python

SQL

AI/LLM tools

Data quality

Stakeholder management

Project management

Communication skills

Financial services knowledge

Education

Bachelor's degree in CS/Data Science/Finance

Tools

Databricks

Job description

GIC is seeking an AVP for Data & Process Assurance in Investment Services Management (Private Equity) based in Singapore. The role focuses on automating data workflows, building AI-enabled data processing capabilities, and driving data quality across the PE portfolio.

You will partner with global deal teams and technology partners to implement scalable governance and reporting. The ideal candidate has 6+ years in data governance within financial services, strong coding skills, and experience