Lead Full Stack Engineer, Data Analytics Assurance

Job description

At EY, we develop you with future-focused skills and equip you with world-class experiences. We empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. We work together across our full spectrum of services and skills powered by technology and AI, so that business, people and the planet can thrive together. We’re all in, are you? Join EY and shape your future with confidence. The Opportunity We are looking for a Lead Full Stack Engineer to help drive the development, testing, and delivery of AI-enabled solutions for Assurance. This role is ideal for a hands-on engineer who can go beyond coding. You will act as a technical product lead, working across product, engineering, AI, data, testing, and assurance teams to turn business needs into scalable, reliable, and production-ready AI solutions. You will help lead a full-stack development team, shape technical requirements, manage delivery priorities, and ensure our Assurance AI products meet the quality, reliability, usability, and testing standards required for enterprise and assurance use cases. What You Will Do Own the end-to-end delivery of Assurance AI features, from requirements and solution design through development, testing, release, and production support Work closely with Assurance stakeholders to translate business objectives into clear 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 that support AI-enabled assurance use cases Act as the bridge between business stakeholders, product owners, AI specialists, developers, and testers to ensure delivery remains aligned, practical, and outcome-focused Drive sprint planning, backlog prioritization, technical design discussions, dependency management, and release readiness Define and support testing strategies for AI-enabled products, including functional testing, integration testing, regression testing, user acceptance testing, model-output validation, prompt testing, and data quality checks Identify technical risks, delivery blockers, architectural trade-offs, and quality gaps early, and work with the team to resolve them Promote strong engineering practices, including code reviews, documentation, automated testing, CI/CD, monitoring, and production-readiness checks Help establish reusable patterns, components, and development practices that accelerate future Assurance AI delivery. What We Are Looking For 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 A strong understanding of software testing, release management, CI/CD, monitoring, and production support Experience leading developers, managing technical workstreams, or coordinating delivery across cross-functional teams The ability to translate ambiguous business needs into clear technical requirements, delivery plans, and measurable outcomes Strong communication skills, with the ability to explain technical decisions to both engineering and non-technical stakeholders A product mindset, including comfort with backlog management, prioritization, user stories, acceptance criteria, and stakeholder alignment Nice to Have Experience building or integrating AI, GenAI, LLM, machine learning, or agentic workflow solutions 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 other regulated enterprise environments Familiarity with Azure OpenAI, AWS Bedrock, Google Cloud AI, OpenAI APIs, vector databases, RAG architectures, document processing, or workflow automation Experience working in Agile delivery environments and supporting Scrum ceremonies, release planning, or technical governance What Success Looks Like Deliver Assurance AI capabilities that are reliable, scalable, tested, and ready for business use Improve coordination and delivery velocity across the full-stack development team Turn complex assurance and AI requirements into practical, buildable, and testable solutions Reduce ambiguity between business, product, AI, engineering, and testing teams Raise the quality of development, testing, documentation, and release practices Create reusable technical patterns that allow Assurance AI products to scale across future use cases About You You are a hands-on engineer with strong product instincts. You enjoy building software, but you also enjoy leading teams, clarifying ambiguity, managing priorities, and making sure the right product gets delivered the right way. You are comfortable moving between code, architecture, product requirements, testing strategy, stakeholder discussions, and delivery planning. You can zoom into technical details when needed, but you can also step back and guide the team toward the bigger outcome. EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. All in to shape the future with confidence.