VP, Production Support Engineer & SRE (Investment Management & Analytics), Technology Group Greater Singapore Area

GIC is one of the world’s largest sovereign wealth funds. With over 2,000 employees across 11 locations 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.

Technology GroupWe experiment, design, and lead a 24×7 global business where we support core capabilities in asset management, trading, investment operations, and risk management. We deliver secure, reliable, and integrated solutions, and provide insights on new, and emerging technologies.

Investment TechnologyThe Investment Technology group builds and enhances technology that supports the firm’s end-to-end investment lifecycle. It brings together capabilities across analytics, deal workflow, trading, execution, and operations to enable consistent, efficient, and data-driven investment processes. Through modern, scalable, and secure platforms, the group empowers investment teams with integrated tools that drive insight, automation, and operational excellence across all asset classes.

About Investment Management & AnalyticsInvestment Management & Analytics delivers the data pipelines, ETL processes, and analytics platforms that power portfolio management, research, and investment decision-making across GIC. The platforms ingest, transform, and serve investment data to analytics, reporting, and business intelligence tools, where timeliness, accuracy, and reliability are critical.

What impact can you make in this role?As the production support lead for Investment Management & Analytics, you will own the reliability and operational excellence of the data and analytics platforms that investment teams rely on every day. You will set the operational standards for data pipelines and analytics services, and partner with business and technology leaders to support GIC’s vision of being a tech-driven, global, long-term investment firm.

What will you do as a Lead, Production Support?

Leadership & team management

Platform ownership: Manage L1 & L2 production support and SRE for Investment Management & Analytics platforms, including data pipelines, ETL/ELT workflows, analytics and research platforms, and the systems that support Portfolio Management, Investment Workflows, and Research and Analytics.

Operating model & coverage: Effectively run the support operating model, including on-call rosters, escalation paths, follow-the-sun handovers, and service level objectives (SLOs), ensuring dependable coverage for business-critical services.

Capability building: Identify skill gaps, drive cross-training and knowledge sharing, and contribute to hiring so the team scales with the platform.

Operational excellence & governance

Proactive environment governance: Define and oversee the environment monitoring strategy, leveraging enterprise observability tools and predictive dashboards to ensure the high availability, capacity, and performance of production environments, including data platform capacity, compute cost, and job performance.

Monitoring setup: Design and set up end-to-end monitoring and alerting across data pipelines and analytics services, covering job schedules and run status, data freshness and SLAs, data quality checks, cluster and compute health, and downstream report availability, with runbook-linked alerts and SLO dashboards.

Incident & problem leadership: Command high-severity incident response efforts; drive institutional problem management frameworks and root cause analysis (RCA) to eliminate recurring systemic risks and minimise business disruption. Ensure incidents, including data delays and data quality breaks, are documented and corrective actions are tracked to closure.

Release & change governance: Champion the rigorous governance of application changes, patch deployments, and infrastructure upgrades, enforcing zero-downtime methodologies and strict risk mitigation controls.

Security & risk posture management: Drive the enforcement of security hygiene, vulnerability remediation, and compliance standards within production environments to maintain an uncompromised, secure operational posture.

System resiliency: Own failover, disaster recovery, and business continuity readiness, including regular DR testing and resiliency reviews

Data platform operations

Pipeline reliability: Own the stability and timeliness of Informatica and Databricks workloads and related batch schedules, ensuring critical data is delivered to investment teams within agreed SLAs.

Data quality & recovery: Establish controls for data completeness and accuracy, and lead safe reruns, backfills, and data recovery when issues occur, in partnership with data engineering and data owners.

Stakeholder & vendor partnership

Stakeholder communication: Act as the central point of coordination during incidents, clearly communicating status, impact, and next steps to investment teams, data consumers, and business stakeholders, technology teams, and senior management across regions and time zones.

Business alignment: Work with business sponsors and stakeholders to iterate through requirements in phases, translating operational needs into prioritised improvements aligned with department objectives.

User support: Partner closely with investment teams, data consumers, and business stakeholders, responding to queries and resolving issues with urgency and a service-first mindset.

Vendor engagement: Collaborate with solution providers, data vendors, and platform vendor support teams to troubleshoot, mitigate, and resolve issues related to third-party products and data feeds.

Continuous improvement

Automation & AI-driven improvement: Identify and deliver opportunities to apply automation, AI frameworks, and agentic AI tooling to reduce toil, accelerate diagnostics, and continuously improve the efficiency and reliability of application support.

Service reporting: Track and report operational KPIs (e.g., availability, MTTR, incident trends, SLA/SLO attainment) to management, using the insights to drive improvement.

Documentation: Ensure comprehensive and current runbooks, incident resolutions, known-error records, and system configuration documentation.

What makes you a successful candidate?Experience & leadership

Bachelor’s degree in Computer Science, Information Technology, or equivalent practical experience.

12+ years of hands-on experience in production/application support or Site Reliability Engineering, ideally supporting data platforms, data pipelines, or analytics applications in a business-facing environment.

Track record of leading high-severity incidents and establishing problem, change, and release management practices in a regulated or high-availability environment.

ITIL or SRE certification is a plus.

Mindset & attributes

A great problem solver with a positive, can-do attitude who takes ownership and stays calm and decisive under pressure in a fast-paced, high-stakes environment.

A good team player who is keen to learn, works independently, and brings strong analytical, problem-solving, and interpersonal skills.

A strong communicator who can iterate through requirements in phases, ensuring alignment with business sponsors, stakeholders, and department objectives.

Able to bridge technical teams and business users with clarity and confidence, and to manage competing priorities with sharp attention to detail.

Technical skills

Data analytics & ETL: Strong hands-on experience supporting ETL/data integration platforms such as Informatica (PowerCenter and/or Intelligent Data Management Cloud).

Databricks (highly preferred): Experience operating Databricks workloads, including Spark jobs, workflows, Delta Lake, cluster management, and Unity Catalog.

Data engineering fundamentals: Solid SQL skills, understanding of data warehousing and data modelling concepts, and experience with job schedulers and orchestration tools (e.g., Control-M, Airflow).

Cloud & infrastructure: Hands-on experience with AWS cloud and container orchestration using Kubernetes.

Observability: Hands-on experience designing and implementing monitoring and observability (e.g., Datadog, Splunk), including data pipeline and data quality monitoring.

Databases: Familiarity with database management systems (e.g., MSSQL, PostgreSQL, Oracle) and cloud data platforms.

Scripting & automation: Comfort with scripting (e.g., Python, Bash) to build automation and tooling.

AI frameworks & tooling: Experience with modern AI frameworks and tools, including agentic AI, applied to operations, automation, and diagnostics (a strong differentiator)

Work at the Point of Impact

We need to be forward-looking to attract the right people to help us become the Leading Global Long-term Investor. Join our ambitious, agile, and diverse teams - be empowered to push boundaries and pursue innovative ideas, share your views, and be heard. Be anchored on our PRIME Values: Prudence, Respect, Integrity, Merit and Excellence, which guides us in how we make our day-to-day decisions. We strive to inspire. To make an impact.

Flexibility at GIC

At GIC, our offices are vibrant hubs for ideation, professional growth, and interpersonal connection. At the same time, we believe that flexibility allows us to do our best work and be our best selves. Thus, our teams come into the office four days per week to harness the benefits of in-person collaboration but have the flexibility to choose which days they work from home and adjust this arrangement as situational needs arise.

We are an equal opportunity employer

As an employer, we passionately believe every individual brings with them unique diversity of thought and perspectives to meaningfully enrich perspectives of GIC teams to drive competitive performance. An inclusive environment yields exceptional contribution.