At QIMA, we exist to help our clients make products they can trust.
Operating in over 100 countries, QIMA serves the consumer products, food and life sciences sectors, supporting more than 30,000 brands, retailers, manufacturers and growers worldwide. We combine deep on-the-ground expertise with digital platforms that bring accuracy, transparency and intelligence to quality and compliance data.
What truly sets QIMA apart is our culture. Our 6,000+ Qimers live our values every day: client passion, integrity, and making things simple. Through this mindset, we have disrupted the Testing, Inspection and Certification (TIC) industry and continue to transform at pace.
We are now entering the next phase of our journey — scaling, integrating and professionalising at group level — and finance sits at the heart of that transformation.
Job DescriptionQIMA is scaling at an explosive rate. With operations in 100+ countries and a continuous stream of acquisitions, the Group Finance engine must be built for speed, resilience and scale. As part of the One QIMA Finance agenda, Finance is moving away from fragmented, manual workflows toward a unified, AI‑first operating model.
The Finance Transformation Analyst (Data & AI) is a core delivery role within the Finance Transformation SWAT Team. The role acts as a builder and problem‑solver, operating like a technical product manager for Finance. Rather than maintaining processes, this role engineers better ones, using data, automation and AI to eliminate friction, reduce risk and prevent complexity from scaling with growth.
Role Purpose
The Finance Transformation Analyst is accountable for designing, building and embedding AI‑enabled finance workflows across the Group.
Working hands‑on with Finance, Global Shared Services, Technology and Data teams, the role translates real operational pain points into durable, scalable solutions — ensuring that finance processes become faster, safer and increasingly touchless as QIMA grows.
This role is delivery‑focused and outcome‑driven, sitting firmly on the change side of the Finance operating model.
Core Accountabilities – The “SWAT Team” Mandate
1. Productise Finance Workflows
Treat finance processes (e.g. billing, close, reconciliations, compliance checks) as products with defined users, inputs, outputs and success metrics.
Map end‑to‑end user journeys (e.g. invoice to cash, journal to consolidation) and identify friction, rework and control gaps.
Redesign workflows to remove manual steps, improve auditability and increase automation.
2. AI & Digital Worker Deployment
Design, deploy and iterate AI‑enabled digital workers to handle high‑volume, rules‑based or logic‑heavy finance activities.
Apply AI to use cases such as:
Multi‑language invoice and document validation
Cross‑currency bank reconciliation
Exception detection and anomaly flagging
Tax and compliance checks across jurisdictions
Ensure AI solutions are controlled, explainable and compliant with Finance governance standards.
3. M&A Integration Engineering
Act as a hands‑on technical lead for finance integration workstreams during acquisitions.
Build repeatable data bridges that ingest, standardise and map legacy acquisition data into the Group’s NetSuite and reporting environment.
Reduce manual mapping, bespoke fixes and post‑deal complexity by enforcing Group data and process standards.
4. Cross‑Functional Problem Solving
Work horizontally across Group FP&A, Group Finance, Treasury, GSS and Divisional Finance teams.
Rapidly diagnose issues, prototype solutions and deploy fixes in partnership with Technology and Data teams.
Operate flexibly across locations and time zones, supporting both Group‑level initiatives and SSC execution challenges.
Digital & Technical Profile – “The Builder Mindset”
This role prioritises capability and curiosity over tenure. The ideal candidate is a digital native who builds solutions quickly using modern tools.
Expected capability or demonstrated high aptitude for learning includes:
AI Agent Frameworks
Experience or using or understanding agentic frameworks (e.g. LangChain, AutoGPT, CrewAI) to orchestrate multi‑step finance logic.
Large Language Models (LLMs)
Ability to design and use custom GPTs or APIs (e.g. OpenAI, Anthropic) to extract structured data from unstructured finance documents.
Automation & Integration (“The Glue”)
Hands‑on use of automation platforms such as Microsoft Power Automate, Zapier or Make to connect NetSuite, data sources and AI tools.
Data & Scripting
Working knowledge of SQL and Python to clean data, automate logic, build scripts and interact with APIs.
Low‑Code Tooling
Ability to create lightweight internal tools or dashboards using platforms such as Airtable, Retool or similar.
Who You Are
Informed Collaborator: Understands accounting fundamentals (IFRS, debits/credits) and thinks about them logically, like a system.
Outcome‑Oriented: Focused on solving problems permanently, not documenting broken processes.
Resilient & Adaptable: Thrives in a fast‑moving, acquisitive environment where standards evolve quickly.
Builder by Instinct: Learns tools fast, experiments responsibly and improves solutions iteratively.
