Workday Financial Manager
Thought Machine is hiring a Workday Financial Manager in London, United Kingdom. Level rates it ; you can apply on Thought Machine.
Level's read on this job
- Level rates this finance role Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Workday Financials, Generative AI and AI agents.
- Level classifies it as a lead role.
- Level lists 37 other open roles at Thought Machine.
- The role was posted in the last few days.
AI in this role
Manage Workday Financials and drive process optimization leveraging generative AI and automation as a Finance Systems Engineering Manager.
Thought Machine's mission is bold – to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology.
We have grown rapidly in the past few years – growing our team to more than 550 individuals across offices in London, New York, Singapore, Sydney and our newly established Engineering Hub in Lisbon. We have raised more than £500m in funding and our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more.
We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the world's most innovative fintechs by Global Finance Magazine, we were also recognised by the Financial Times as one of Europe's fastest-growing companies for two consecutive years—and a UK Best Employer for 2026.
Thought Machine is looking for a talented Finance Systems Engineering Manager and will report into the Group Finance Director. The Manager will sit at the crossroads of accounting logic, systems architecture, and Generative AI. The business uses Workday Financials and needs someone experienced in usage of the system to continue with process improvements, maintain the system and support the Finance function. We are on a journey to eliminate manual processes, and this role will play a critical part in ensuring we have reliable data, automated processes and fast, meaningful reporting. The mission is to treat the entire Finance stack as a machine: designing automated data and ensuring the financial infrastructure scales seamlessly as Thought Machine continues to grow.
DUTIES
System Ownership: Serve as the primary System Administrator for Workday Financials, driving end-to-end platform optimisation, focusing on exploiting AI, and driving new features/functionality adoption to improve operations.
Ticket & Stakeholder Governance: Prioritise, manage incoming change requests and support tickets in collaboration with related teams.
Reporting & Hierarchy: Ensure reporting for management, statutory aligned with latest accounting standards and structure in line with how the business is set up.
Optimising Business Processes: Review all existing business processes and recommend new ways to do things, reducing complexity, automating manual workflows and driving improvements with AI lead change.
Enablement & Best Practices: Produce clear technical playbooks, end-user documentation, training initiatives, actively participate in the Workday.
Community to leverage best practices and influence product roadmaps.
Integrations: Ensure current integrations are compliant and improved upon.
Future Projects: new shares tool, integration for other banking partners, updating security user groups, consolidating payroll providers and new FP&A tool.
Security & Compliance: Enforce strict segregation of duties processes, system audit trails, to ensure audit readiness, and compliant integrations and renewals.
Application Management: Oversee the ongoing maintenance, vendor relationships, and SLA for all 3rd-party system integrators.
REQUIREMENTS
Essential
Workday Financial knowledge and experience, including WD expenses module, integrations for Banks, FX and others.
Engineering excellence, coding, processing understanding and redesigning.
Someone who enjoys collaborating across various teams within Finance and the wider organisation including the People Team, Engineering, Security and others.
Systems implementation, configuration, development and support.
Business process analysis and a flexible approach with a willingness to constructively challenge existing practices.
A passion for providing an excellent end-user experience and automation.
AI-Curious: understand how to prompt LLMs, use APIs, and excited about deploying AI agents to replace repetitive human processes.
Self-motivating and at home in a fast-paced and rapidly-changing environment with competing deadlines.
Build strong relationships with internal and external stakeholders to deliver desired outcomes for the team and organisation.
Advanced Excel, database and programming.
Desirable
Accounting knowledge, maybe someone who is a Part Qualified or Qualified Finance professional.
Experience in a Systems role in an SME enterprise.
Worked within the software SaaS industry previously.
We actively hire candidates who demonstrate technical excellence in their field and welcome people of all ages and backgrounds, providing everyone with equal access to professional development. You are encouraged to apply even if your experience doesn't accurately match the job description. We also encourage applications from those with different abilities, including candidates with ADHD, autism, dyslexia or dyspraxia.
How we rate this
Workday Financial Manager at Thought Machine rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in finance jobs at this level
Pay
- Typical finance job
- $105k
This posting doesn't list pay. Use the typical finance figure when pay comes up. See finance jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where systems architecture was part of your work. What did you do?
- Tell me about a project where process automation was part of your work. What did you do?
- Tell me about a project where financial systems was part of your work. What did you do?
- Tell me about a project where system administration was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Systems Architecture, Process Automation, Financial Systems, and System Administration. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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