IFS
Director – Finance Tools, Process & Systems
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Job Description
IFS is a billion-dollar revenue company with 5000+ 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
As our Director – Finance Tools, Process & Systems, you will join the Corporate FP&A team as a strategic leader driving the transformation of IFS's Finance tools, processes, data architecture, and AI capability. This is a rare, high-impact role at the intersection of Finance, Technology, Data, and AI created to act as the Finance technical expert on the enterprise-wide rollout of a next-generation, AI-enabled EPM platform, provide senior Finance input to the redesign of the Group's ERP and Finance data structures, champion the embedding of AI across planning and analysis, and over time assume ownership of the global FP&A processes. You will work as an individual contributor with a clear mandate to assemble teams to deliver core projects and deliverables, and will operate as the bridge between Finance, Technology, Data, and executive stakeholders, translating complex business requirements into scalable, system-enabled, and AI-augmented operating models.
Role Boundaries & Interfaces
This role has been carefully scoped to complement existing responsibilities within Corporate FP&A, Accounting, and IT. It is not a reporting role, an AI Business Unit role, or an EPM platform ownership role; it is the Finance technical expert and governance leader that connects these disciplines.
Key Responsibilities – EPM Programme Leadership
- Act as Finance technical expert and delivery partner for the enterprise EPM platform, working alongside IT (as platform owner) to shape how the platform is designed, configured, and deployed.
- Lead vendor evaluation, selection, contracting, and implementation partner management, including RFI, PoC, scoring, business case, and Steering Committee governance.
- Own the Finance requirements and future-state EPM solution design covering SaaS revenue (ARR/ACV/TCV), workforce and project cost planning, allocations, product/industry visibility, consolidation, and AI-enabled scenario modelling.
- Define the target planning operating model, integration architecture (ERP, GL, HCM, CRM, BI), and data model to ensure a single, governed version of the truth.
- Drive user adoption, change management, training, and continuous optimization post go-live.
- Establish and enforce Finance-side EPM governance, controls, and release management standards in partnership with IT.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Key Responsibilities – AI Enablement & Finance Innovation
- Act as the AI champion within Corporate FP&A, defining and executing the AI roadmap for planning, forecasting, reporting, and process automation.
- Embed AI-enabled forecasting, anomaly detection, driver-based scenario modelling, and natural language query capabilities into the EPM and reporting stack.
- Partner with the CIO, Data & AI teams, and Finance leadership to identify, prioritize, and deliver high-value AI use cases in Finance without duplicating AI Business Unit product work.
- Establish AI governance, model risk management, data quality, and ethical use standards for Finance-owned AI applications.
- Evaluate emerging AI and GenAI capabilities (copilots, agentic AI, LLM-based analytics, and intelligent automation) and lead pilots to accelerate adoption where value is proven.
- Build AI literacy across the FP&A team through training, playbooks, and hands-on enablement, creating an AI-fluent Finance organization.
Key Responsibilities – ERP & Finance Data Structure Redesign
- Act as a senior Finance leader within the Group's ERP and Finance data architecture redesign programme, partnering with Group Reporting, Accounting, Technology, and BI to redesign end-to-end data structures from GL through management, statutory, and investor reporting.
- Interface with Accounting on the governance of the Chart of Accounts, cost centre hierarchies, business unit, product, function, project, and legal entity dimensions to enable clean GAAP-first reporting that reconciles to management views.
- Partner with ERP and Data/BI platform owners to define a coherent data lineage from voucher row through GL cube, consolidation, and reporting layer that is AI-ready and scalable.
- Champion transaction-level data transparency and reduce reliance on downstream reporting workarounds.
- Support governance for master data ownership, chart-of-accounts change control, and attribute mapping across systems.
Key Responsibilities – Budget & Forecast Process
- Over time, assume end-to-end ownership of the global Budget and Forecast operating model process & governance.
- Drive continuous improvement in forecast accuracy, planning efficiency, and stakeholder accountability, leveraging the new EPM platform, AI-enabled forecasting, and redesigned data architecture.
- Lead long-range planning, scenario modelling, and AI-driven, driver-based planning enhancements as the platform matures.
Key Responsibilities – Leadership, Delivery & Team Build-Out
- Provide senior delivery leadership across concurrent transformation workstreams balancing strategic design authority with hands-on programme execution.
- Represent Finance on the EPM Steering Committee and Finance data architecture steering forum.
- Lead the interface with external consulting and implementation partners across the EPM and Finance data programmes, ensuring scope discipline, quality delivery, and knowledge transfer.
- Influence senior stakeholders including the CFO, VP Corporate FP&A, VP Group Reporting, Head of Accounting, CIO, and Business Unit CFOs to secure alignment and pace.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Requirements
- Extensive experience leading enterprise Finance transformation programmes within the software industry (SaaS or subscription-based businesses strongly preferred).
- Business-wide transformation experience within a global software business is essential.
- Proven track record leading at least one end-to-end EPM platform selection and implementation (e.g., OneStream, Pigment, Anaplan, Oracle EPM, Workday Adaptive, SAP BPC) at scale.
- Demonstrated experience embedding AI and GenAI capabilities into Finance processes, EPM platforms, or reporting stacks.
- Strong AI fluency, familiarity with modern AI/GenAI tooling (copilots, LLMs, agentic AI, ML-based forecasting), data science fundamentals, and applied use cases in Finance.
- Track record of driving AI adoption at scale within a Finance function.
- Direct experience redesigning ERP-linked data structures, Charts of Accounts, cost centre hierarchies, and management reporting architectures within complex global environments.
- Consulting background (Big 4 [Deloitte, EY, PwC, KPMG], Accenture, IBM) or equivalent with a Finance Transformation, EPM, or Enterprise Performance practice pedigree preferred.
- Strong balance of technical depth (data models, integration architecture, systems design, EPM configuration, AI/ML solution design) and delivery leadership (programme management, governance, stakeholder influence, change management).
- Proven experience leading external consulting and implementation partners on major transformation programmes.
- Deep understanding of SaaS metrics (ARR, ACV, TCV, NRR, GRR) and how they flow through planning, GL, and reporting layers.
- Experience operating in matrixed global organizations, engaging effectively with CFO-level and executive stakeholders.
- Excellent communication and influencing skills, with the ability to translate complex technical and AI concepts into clear business outcomes.
Qualifications
- Degree-level qualification in Finance, Accounting, Business, Engineering, Computer Science, Data Science, or a related discipline.
- Professional qualification (ACA, ACCA, CIMA, CPA), MBA, EPM implementation credentials, or AI/ML certifications viewed favourably.
- Fluent business English required.
Additional Information
- A persistent nature and a willingness to understand and overcome operational challenges/obstacles.
- Ability to understand processes and challenges and effectively communicate internally.
- Ability to understand internal processes and navigate effectively.
- Previous experience in a multinational technology company would be an advantage.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location