IFS
Director, AI Transformation - Commercial Finance
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IFS Overview
IFS is a billion-dollar revenue company with 7000+ employees on all continents. We deliver award-winning enterprise software solutions through the use of embedded digital innovation and a single cloud-based platform to help businesses be their best when it really matters–at the Moment of Service™.
At IFS, we're flexible, we're innovative, and we're focused not only on how we can engage with our customers, but on how we can make a real change and have a worldwide impact. We help solve some of society's greatest challenges, fostering a better future through our agility, collaboration, and trust.
We celebrate diversity and accept that there are so many different perspectives in this world. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view.
By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world.
We're looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs.
If you want to change the status quo, we'll help you make your moment. Join Team Purple. Join IFS.
Job Description
We're looking for a hands-on AI transformation leader to reimagine our deal review process — replacing manual, spreadsheet-driven review with agentic AI and intelligent automation. You'll bring deep expertise in applied AI; the commercial finance, sales operations, and revenue recognition specialists on the team already know the current process and will partner with you closely. Your job is to see what AI can replace, augment, or redesign end-to-end.
This role will lead the redesign of the process from the ground up, covering:
- Deal approval & sales process (DAR, deal desk, credit checks, payment terms)
- Commercial Finance and Revenue recognition workflows
- Delivery in parallel with a new CRM implementation — so solutions are designed for the target state, not retrofitted onto the legacy process
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You will partner closely with Commercial Finance leadership, Sales Operations, Deal Desk, Revenue Recognition and IT, who bring the process knowledge, while you bring the AI and automation expertise to redesign how the work gets done.
Key Responsibilities
AI & Automation Leadership
- Own the AI/automation strategy and delivery roadmap for the programme, from opportunity identification through to deployment
- Design and deploy agentic AI, LLM-based and intelligent automation solutions that replace manual review, reconciliation and validation work
- Build reusable AI agent capability that can extend across the wider finance function over time
- Set the technical and governance standards for AI use: model risk management, human-in-the-loop controls, audit trails, responsible AI principles
- Build AI fluency across teams — train people to use, direct, and supervise AI agents day to day
- Own end-to-end delivery of AI initiatives: from idea → design → deployment → adoption, measured by cycle-time reduction and capacity freed up
- Applied to Deal Approval, Revenue Recognition & Sales Process
Embedding & Scaling
- Enhance Deal Approval Request (DAR) routing and risk-based approvals
- Automate credit checks, payment terms validation, and contract/document consistency checks
- Automate revenue recognition trigger detection and deal review
- Partner with the CRM implementation team so DAR/approval automation is designed into the target CRM from the outset, not bolted on after go-live
- Work with Commercial Finance, Deal Desk and Revenue Recognition specialists to translate their process knowledge into AI-ready workflows
- Ensure AI solutions align with control frameworks, audit requirements, and revenue recognition compliance standards (e.g. ASC 606 / IFRS 15), with support from finance and compliance specialists
- Strengthen controls through automated validation, exception handling, audit trails and risk monitoring
- Standardise workflows across previously siloed regional teams (APJ, EMEA, NA)
- Align with broader Finance transformation programmes and sales operating model changes
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Qualifications
AI & Technology Experience
- Proven track record designing and deploying agentic AI, LLM-based, or intelligent automation solutions within a complex operational environment — finance, insurance, legal, supply chain, or other rules-heavy process settings all transfer well
- Hands-on experience with LLM orchestration, agent design, and workflow automation / RPA platforms (e.g. Copilot, UiPath, Power Automate, custom LLM agent frameworks)
- Experience building the business case and value realisation model for AI investment — quantifying capacity freed, cycle time reduced, error rates improved
- Understanding of AI governance, model risk management, and responsible AI principles
- Experience integrating AI/automation with CRM or ERP systems and their underlying data architecture
Helpful, Not Essential
- Exposure to commercial finance, deal desk, sales finance, or revenue operations processes — or genuine curiosity to learn them quickly alongside specialists who know the current process
- Experience operating in a multi-entity, international organisation with global sales operations
Leadership
- Track record leading enterprise-wide AI or technology transformation programmes across multiple regions or business units (sector-agnostic)
- Proven ability to drive adoption and behavioural change among non-technical teams
Additional Information
We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.
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