Senior Engineering Lead - Group Finance Systems

Requirements:

• 12+ years in software engineering, including 5+ years leading engineering teams in finance, fintech, or other regulated/audited domains.
• Deep experience with Tier 1 ERPs (SAP, Oracle, Microsoft Dynamics, Workday Financials, or NetSuite at enterprise scale) — including at least one migration, consolidation, or major modernization program you led the engineering side of.
• SOX or equivalent control-environment experience. You've built — not just complied with — engineering practices that hold up to external audit.
• Architectural range. Comfortable across vendor configuration, custom extensions, integration middleware, and event-driven patterns. You know when to buy, when to build, and when to wrap.
• Stakeholder fluency at the CFO level. You can partner transparently with Finance Business Process leads, explain complex trade-offs, and successfully achieve organizational alignment.
• A pragmatic transformation instinct. You ship in increments, but you don't lose sight of the destination.

Nice to have:

• First-hand experience taking a company through SOX readiness post-listing.
• Fintech, payments, or banking background.
• Public POV on AI in the finance back-office — what works, what's hype.

What you'll be owning:

• Technical strategy for Finance Systems. Set the architecture and multi-year roadmap for our ERP and surrounding finance platforms.
• The team. Lead, hire, and grow a senior engineering team. Set the bar for engineering quality in a domain where correctness, auditability, and resilience is non-negotiable.
• SOX engineering foundations. Build the tooling, controls, and change-management practices that make SOX compliance a property of how we Engineer.
• Operational maturity. Drive deployment frequency, observability, incident response, and change control to a standard appropriate for systems the CFO signs off on.
• Co-own the roadmap with Finance and Product. Translate Group Finance's priorities into a credible engineering plan.
• Automation and AI. Drive efficiencies through AI-assisted finance operational tooling by deciding where automation pays off, where it doesn't, and helping us make the right tooling choice & integrations.

Perks and Benefits: