Oversee the various line of efforts with the multifaceted teams, including the research, product management, data science, to curate and chart AI strategies for the respective Centres of Excellence (COEs)
Strategic Advisory: Partner with CxOs and senior technology leaders to define AI transformation roadmaps, enterprise AI strategy, and operating models for responsible and sustainable AI adoption.
Create high-quality 3D models, environments, textures, materials, and digital assets based on real-world equipment, facilities, photographs, CAD data, scans, and other reference materials.
A leading financial services organisation is seeking an AI Governance & Assurance Lead to drive the safe, responsible, and scalable adoption of artificial intelligence across the enterprise. This is a newly created strategic role within the organisation's AI function, responsible for establishing governance frameworks, embedding AI risk controls, and partnering with business and technology teams to accelerate AI adoption while meeting evolving regulatory and ethical expectations. Responsibilities You will develop and operationalise enterprise-wide AI governance frameworks, standards, policies, and operating models to support the responsible deployment of AI and Generative AI solutions. Working closely with AI, Technology, Data, Risk, Compliance, Legal, and Business stakeholders, you will embed governance principles throughout the AI lifecycle, ensuring AI solutions are designed, deployed, and monitored in accordance with internal policies and external regulatory requirements. You will conduct AI risk assessments, establish governance processes and control mechanisms covering areas such as model risk, explainability, fairness, transparency, and AI assurance, while advising project teams on AI-by-design practices. In addition, you will drive organisation-wide AI awareness and capability building, foster communities of practice, monitor emerging AI technologies and regulatory developments, and represent the organisation in relevant industry forums where appropriate. Requirements You have 8-15 years of experience across AI, machine learning, data science, AI governance, model risk, AI product, or related disciplines, with a strong understanding of the AI lifecycle, including Generative AI, large language models (LLMs), model risk, explainability, bias, and AI governance principles. You possess experience developing or operationalising AI governance frameworks within a large enterprise or regulated environment and are comfortable engaging senior stakeholders across business, technology, risk, and compliance functions. Exposure to AI assurance, AI risk management, model governance, or industry AI governance initiatives will be highly regarded. You are an effective communicator with the ability to translate complex technical and regulatory concepts into practical business outcomes while balancing innovation, governance, and commercial objectives. To Apply Please send your CV to sz@kerryconsulting.com quoting 36086. Only shortlisted candidates will be notified.
As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires.
Translate priority AI use cases into well-defined AI agents and agentic workflows, with clear business objectives, ownership, success measures and control requirements.
Own end-to-end hardware architecture for AI data centers, covering compute, GPU and accelerators, networking, storage, racks and supporting infrastructure, from selection through deployment.
Agents (nas.com/agents) is our AI agent platform for marketing teams. It connects ads, social, CRM, content, analytics, and transaction data into one marketing brain for each company. Agents then work on it 24/7: watching ad accounts and social channels, improving ad performance, monitoring reputation and competitors, and flagging what needs a human decision.
Lead the design, implementation, and delivery of one of three critical workstreams: Generic Error Handling, Auto-Recovery & Dependency (AI Ops) You will serve as the technical authority for your workstream, driving solution architecture, client engagement, and team leadership to deliver measurable business outcomes within an aggressive timeline.
As the digital-asset industry continues to evolve, so does the risk landscape across the infrastructure. To stay ahead, Binance Infra Team is investing heavily in AI-driven abnormal detection, incident management and system pentest, so that we can proactively identify and address potential vulnerabilities and keep our platform secure.