VP, Cloud Operations, Technology Group

GIC is one of the world’s largest sovereign wealth funds. With over 2,000 employees across 11 locations worldwide, we invest in more than 40 countries 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 Group We 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. Infrastructure Team You will help to build and sustain strong technology foundations forming the bedrock of GIC’s digital solutions. What will you do as a VP, Cloud Operations? We are seeking a highly skilled Cloud Operations Lead based on ITIL 4 standards. The ideal candidate will have over 10 years of experience in the cloud operations space, preferably within the Financial Services Industry (FSI). This role requires a proactive individual who can effectively manage cloud environments, ensuring timely communication and resolution, which may on occasion include late evenings or weekends. Enable Cloud Native Transformation Strategy and Roadmap Enable the next iteration of GIC’s cloud strategy by planning and executing against the vision for an agile organization that leverages cloud native to take full advantage of cloud computing. Communicate the case for and benefits of increased cloud native adoption to senior stakeholders, business units, and business solution teams. Proactively keep updated on AWS/Azure updates and proactively propose, design, and implement changes to our cloud systems. Create/track roadmaps and pathways for the rationalization and modernization of applications to just‑right cloud services, platform, and architecture within our hybrid cloud (public and private) ecosystem. Measure and track progress of GIC’s cloud strategy through the development of effective Key Performance Indicators (KPIs) that set the conditions for successful cloud native adoption, culture, behavior, and differentiating business outcomes. Cloud Operations Team under Global Command Center Champion and exemplify cloud native practices, including cloud native philosophy, architecture, principles, and culture. Participate in product management, including research and proof‑of‑concept, for emerging cloud native services and platforms, for example, enterprise containerization, landing zones, orchestration and automation. Define and implement cloud reference architecture, standards and processes within the enterprise, for example, provide opinionated landing zones that comprise a set of policies or rules to enforce a security baseline and prevent non‑compliant activities. Perform cloud governance role in disciplines such as identity & access management, tenant/account management, security & compliance and billing. Provide common tooling, solutions and patterns for cloud native adoption and developer enablement, productivity and self‑service. Assist application and developer teams to onboard applications to hybrid cloud (public and/or private) services and platforms. Provide education and learning opportunities to enable teams to understand existing and emerging cloud computing technologies, as part of overall cloud capabilities building. Deliver Cloud Operations Provision cloud services to developer teams based on pre‑stipulated service level agreements. Maintain virtual appliances, for example, AMI and base container images. Manage cloud operations disciplines such as patch management, network configuration, certificate management, logging agents and intrusion detection. Steward cloud spend and budget, including the monitoring of cumulative usage, identifying areas for optimization, managing reserved instances (RI) and negotiating on committed spend agreements. Manage support vendor partnerships through regular vendor stewardship meetings and service level and escalation reporting. ETL and Databricks Operations Oversee the deployment, operations, governance and management of ETL processes within cloud environments, ensuring data is accurately extracted, transformed and loaded into target systems. Utilize Databricks for data processing and analytics, ensuring efficient and scalable data workflows. Collaborate with data engineering teams to design and optimise ETL pipelines using Databricks and other cloud‑native tools. Monitor and manage the performance of ETL jobs, identifying and resolving bottlenecks and inefficiencies. Ensure data quality and integrity throughout the ETL process, implementing validation and error‑handling mechanisms. Provide support and troubleshooting for ETL‑related issues, ensuring timely resolution and minimal impact on business operations. Stay updated on the latest developments in Databricks and ETL technologies, proposing and implementing improvements to existing processes. Generative AI and Enterprise AI Operations Oversee the deployment and management of generative AI models and enterprise AI solutions within cloud environments. Collaborate with AI research and development teams to integrate AI models into production workflows. Ensure the scalability, reliability and security of AI operations, implementing best practices for model training, deployment and monitoring. Develop and maintain AI infrastructure, including data pipelines, model serving frameworks and monitoring tools. Monitor AI model performance, ensuring accuracy and efficiency, and implement strategies for continuous improvement. Provide support and troubleshooting for AI‑related issues, ensuring timely resolution and minimal impact on business operations. Stay updated on the latest developments in generative AI and enterprise AI technologies, proposing and implementing improvements to existing processes. What qualifications or skills should you possess in this role? At least 7 years of relevant experience in delivering hybrid cloud strategies, operating models and technology service management practices. At least 1 year of experience in generative AI operations. Bachelor’s or Master’s degree in Computer Science, Information Technology or equivalent. Strong communication abilities to influence key stakeholders ranging from MDs, CISOs, application architects and subject matter experts. Proven track record of delivering cloud applications on Amazon AWS and Microsoft Azure using cloud‑native design and patterns. Extensive experience in architecting applications and automation technologies to meet high standards of availability, agility, capacity, resiliency and security. Hands‑on experience with cloud technologies including Docker, Kubernetes, Infrastructure as Code, Service Mesh, Immutable Infrastructure and declarative APIs. Hands‑on experience in automating full lifecycle management of application hosting platforms in data centre and public cloud using DevOps practices and CI/CD methodologies. Strong understanding of Infrastructure and Platform Automation technology products such as Amazon CloudFormation, HashiCorp Suite and Ansible. Strong understanding and knowledge of industry technology standards, security & compliance frameworks such as NIST, CIS, CSM and experience working with audit and regulatory bodies. Experience with ETL processes and tools, including Databricks. Advantage if candidate knows Databricks on AWS and GCP. One or more AWS/Azure Certifications at Professional and/or Specialty level. 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, pursue innovative ideas, share your views and be heard. We are anchored on our PRIME Values: Prudence, Respect, Integrity, Merit and Excellence, which guide us in how we make our day‑to‑day decisions. We strive to inspire, to make an impact. GIC is a Great Place to Work At GIC, our offices are vibrant hubs for ideation, professional growth and interpersonal connection. We believe that flexibility allows us to do our best work and be our best selves. As such, 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. GIC is an equal opportunity employer As an employer, we passionately believe every individual brings a unique diversity of thought and perspectives to meaningfully enrich the perspectives of GIC teams and drive competitive performance. An inclusive environment yields exceptional contribution. #J-18808-Ljbffr