Lead Full Stack Engineer, Data Analytics Assurance
Ernst and Young1 month ago
Singapore, SingaporeStaff+
Responsibilities
- Own end-to-end delivery of Assurance AI features from requirements and solution design through development, testing, release, and production support.
- Translate Assurance stakeholder objectives into product requirements, user stories, acceptance criteria, and technical delivery plans.
- Lead and coordinate developers across front-end, back-end, API, data, cloud, AI, and testing workstreams.
- Design, build, and review scalable full-stack applications, APIs, workflows, dashboards, and integrations.
- Drive sprint planning, backlog prioritization, technical design discussions, dependency management, and release readiness.
- Define and support functional, integration, regression, user acceptance, model-output, prompt, and data-quality testing strategies.
- Identify and resolve technical risks, delivery blockers, architectural trade-offs, and quality gaps.
- Promote code reviews, documentation, automated testing, monitoring, and production-readiness practices.
- Establish reusable patterns, components, and development practices for future Assurance AI delivery.
Requirements
- 5+ years of professional software engineering experience, including hands-on full-stack development.
- Strong experience with modern front-end and back-end technologies such as React, Angular, Vue, Node.js, Python, Java, .NET, or similar.
- Experience designing and building APIs, working with databases, integrating systems, and delivering secure, scalable applications.
- Strong understanding of software testing, release management, monitoring, and production support.
- Experience leading developers, managing technical workstreams, or coordinating delivery across cross-functional teams.
- Ability to translate ambiguous business needs into technical requirements, delivery plans, and measurable outcomes.
- Strong communication skills with both technical and non-technical stakeholders.
- Product mindset and experience with backlog management, prioritization, user stories, acceptance criteria, and stakeholder alignment.
- Preferred experience building or integrating AI, generative AI, LLM, machine learning, or agentic workflow solutions.
- Preferred experience with AI testing and validation, including prompt evaluation, model-output review, hallucination checks, explainability, and human-in-the-loop review.
- Experience in assurance, audit, risk, compliance, financial services, professional services, or regulated enterprise environments is preferred.
- Familiarity with Azure OpenAI, AWS Bedrock, Google Cloud AI, OpenAI APIs, vector databases, RAG architectures, document processing, or workflow automation is preferred.
- Experience supporting Agile delivery, Scrum ceremonies, release planning, or technical governance is preferred.
Categories
About Ernst and Young
Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.