FP&A Manager (SaaS)

TL;DR

FP&A Manager (SaaS): Leading the data strategy for Finance and managing the monthly ARR snowball with an accent on Power BI reporting and scalable BI infrastructure. Focus on driving data integrity, conducting variance analysis, and providing actionable financial insights for senior stakeholders and investors.

Location: Hybrid (Warwick, UK)

Company

hirify.global Software Group provides industry-leading SaaS software solutions for accountants and small businesses across the UK and Ireland.

What you will do

• Own the monthly ARR snowball and develop Power BI dashboards for core SaaS KPIs to replace manual reporting.
• Lead the monthly FP&A close cycle, including variance analysis and Board commentary.
• Support annual budgeting and rolling forecasts, maintaining the Group’s financial model for strategic decisions.
• Serve as the primary Finance Business Partner to key departments, translating data into actionable commercial insights.
• Manage and develop FP&A and BI analysts as the function scales.
• Support the CFO and VP of FP&A on investor reporting, due diligence, and M&A workstreams.

Requirements

• Qualified accountant (ACA, ACCA, CIMA, or equivalent).
• 4+ years of post-qualification commercial finance experience in industry.
• Proven expertise in Power BI, including data modelling (DAX, Power Query/M) and dashboard design.
• Strong financial modelling skills in Excel with a focus on structure and accuracy.
• Experience owning or contributing to ARR snowball and SaaS metric production.
• Hands-on experience with ERP systems, specifically NetSuite.

Nice to have

• Experience in PE-backed or high-growth SaaS or technology businesses.
• Familiarity with SQL, Python/pandas, Snowflake, or dbt.
• Demonstrated experience managing and coaching analysts.
• Practical use of AI tools to improve finance workflows.

Culture & Benefits

• Performance-related bonus scheme.
• Health insurance and 5% matched pension contributions.
• Direct exposure to a PE-backed SaaS business at a pivotal growth stage.
• Access to cutting-edge BI and AI tooling with autonomy to build the data layer.
• Forward-thinking environment valuing data, automation, and continuous improvement.

Hiring process

• Application review and screening call with the recruitment team.
• Psychometric testing.
• First and second stage interviews.
• Reference and right-to-work checks.