About the role
AI summarisedReporting to the Director FP&A, this role is accountable for building and scaling AI-powered FP&A capabilities. The successful candidate will drive automated reporting, predictive forecasting, scenario modeling, and insight generation across the enterprise, transforming finance operations through advanced analytics.
ResearchOnsiteFinance
Key Responsibilities
- Design, validate, and operationalize predictive models for Revenue, Cost of Sales, Opex, Working Capital, and Cash Flow.
- Build driver-based forecasting and scenario analysis models (e.g., Headcount, Grants Secured & Pipeline).
- Automate monthly/quarterly Management Reports, variance analysis, and KPI dashboards using RPA, low-code tools, and data pipelines.
- Establish standardized metric definitions and data lineage to ensure a single source of truth for finance reporting.
- Translate complex analytics into business-friendly narratives and decision-ready insights for Finance leadership.
- Define and track OKRs for AI & automation initiatives, focusing on improvements in forecast accuracy and cycle time reduction.
- Run agile cadences for analytics initiatives, managing vendor/contractor deliverables.
Requirements
- Bachelor's degree in Finance, Accounting, Economics, Data Science, or Engineering.
- 6 to 10 years of experience in FP&A, Finance Transformation, or Data Analytics.
- At least 2 to 3 years leading automation or predictive analytics initiatives.
- Demonstrated success implementing forecasting models, BI dashboards, or RPA in a corporate finance context.
- Strong knowledge of financial statements, consolidation, and performance metrics.
- Advanced proficiency in Excel, ERP systems (S4/Hana, Planning Software), and BI tools.
- Strong financial modelling and analytical skills.