Financial Systems Analyst II

The Finance Agentic Automation team is looking for an Agentic AI Product Owner to identify and deliver AI-driven solutions for complex Finance problems. This role sits at the intersection of Agentic AI, software engineering, enterprise platforms, and Finance processes . You will work closely with business and technology teams to identify opportunities, define solutions, and drive them from idea to production and measurable business outcomes. The role requires a strong understanding of Generative AI and Agentic AI , solid technical foundations, and the ability to navigate ambiguity and drive initiatives from problem definition through production adoption and measurable business outcomes. • Identify and prioritise Finance opportunities where Agentic AI and automation can create meaningful business value. • Translate business problems into clear use cases, requirements, priorities and delivery plans . • Shape solutions using LLMs, AI agents, tool/function calling, orchestration, RAG/retrieval, context management, evaluation and observability . • Partner with engineering teams working across Java, Python, APIs, data, integrations and enterprise platforms . • Evaluate solution options and make informed trade-offs across business value, technical feasibility, risk and scalability . • Manage key dependencies, risks, blockers and decisions throughout delivery. • Coordinate across Finance, engineering, product and platform teams to ensure effective execution. • Ensure solutions meet expectations for security, reliability, maintainability, performance and production readiness . • Define success measures and track adoption, effectiveness and business outcomes . • Stay current with evolving Agentic AI capabilities and assess their relevance to Finance use cases. • 5+ years of experience in software engineering, technology product management, automation or related roles. • Strong understanding of Generative AI and Agentic AI concepts, architectures and use cases . • Working knowledge of Java and Python , with the ability to understand technical designs, code and system behaviour. • Strong understanding of APIs, backend systems, integrations, data flows and distributed architectures . • Familiarity with LLMs, agents, tool calling, orchestration, RAG, context/state management, evaluation and observability . • Proven ability to solve complex, cross-functional business and technology problems . • Strong analytical skills and ability to create structure when requirements or solutions are unclear. • Strong execution and stakeholder management skills across business and technology teams. • Excellent written and verbal communication skills. • High degree of ownership, curiosity, judgment and accountability .