Does AI’s ability to automatically extract information from unstructured documents fascinate you? Do you want to turn AI theory into AI practice? Do you enjoy solving gnarly integration problems? Join the AI for Ops Solution Design team working on the firm’s Document Management challenges.
As a Solution Designer in the Document Management Product Team, you will be part of a multi-disciplinary team that will perform discovery on current and future business processes. You will facilitate the capture of the current systems architecture and develop proposals for the future. You will understand our current system capabilities and will identify where enhancement is needed, working with the central teams to get the functionality defined and prioritized.
Job responsibilities
1. Collaborate closely with product managers, business users and technologists at all levels in the organisation
2. Gain a clear understanding of the business need through questioning and own research
3. Design document processing solutions using a combination of shared and customer-specific components
4. Facilitate and lead design sessions, ensuring clear communication and alignment across stakeholders
5. Produce high-quality deliverables such as functional decomposition and data flow diagrams
6. Ensure solutions are scalable, maintainable, and aligned with business objectives
7. Represent customer needs in roadmap prioritisation discussions
Required qualifications, capabilities, and skills
8. Strong solution design skills
9. Significant experience of communicating solution designs clearly to both technical and non-technical stakeholders
10. Team-oriented
11. Proven Business Analysis skills
12. Skilled in facilitating collaborative design sessions and driving consensus
13. Highly motivated, with a strong desire to learn
14. Understands the fundamentals of LLMs
15. Experience of working within an agile culture
Preferred qualifications, capabilities, and skills
16. Experience of Operations within financial services
17. An understanding of document processing
18. Data modelling skills
19. Some software engineering experience
20. Some LLM prompt engineering experience
21. Experience of a recognized agile methodology
22. Experience of continuous improvement