Senior Manager, Finance Automation, AI

Role Overview

• Define and execute an automation roadmap across Finance functions (FP&A, Treasury, FinOps) that delivers a measurable increase in AI-enabled workflows and high-impact "easy-win" solutions.
• Redesign manual workflows into standardized, automated processes to reduce error rates and improve auditability scores through facilitated team alignment workshops.
• Orchestrate Finance requirements for data pipelines and system integrations across NetSuite and data lakes, ensuring 100% alignment between technical infrastructure and functional needs.
• Engineer and deploy automated prototypes (RPA, LLMs, or scripts) from specification to rollout, achieving defined targets for speed, cost efficiency, and accuracy.
• Establish formal automation governance standards and testing protocols while increasing departmental tool adoption through structured coaching and repeatable frameworks.
• Build & Experiment with Automation & AI for Finance Processes
• Identifying repetitive, manual finance tasks and experimenting with automation approaches to simplify or eliminate them
• Building lightweight scripts, workflow automations, or AI-assisted tools that reduce time-to-output for Finance teams
• Testing and iterating on GenAI solutions (e.g., AI assistants, summarization tools, workflow helpers) to improve daily work
• Translating business pain points into simple, working automation solutions — even if the first version is imperfect
• Scaling successful prototypes into reliable, documented tools that teams can adopt and use independently

Requirements

• 7–12 years in finance transformation, automation engineering, FP&A, accounting operations, financial systems, or consulting roles.
• Demonstrated delivery of end-to-end automation programs.
• Strong understanding of finance processes across Accounting, FP&A, Treasury, and FinOps, with the ability to challenge and redesign them.
• Experience integrating or optimising NetSuite, data platforms, and planning/reporting systems is strongly preferred.
• Proven ability to work with technical teams (Data Engineering, IT, Product) to operationalize automation.
• Self-starter with the ability to independently identify, size, and execute automation opportunities.
• Executive-level communication: able to influence, align, and secure buy-in across senior stakeholders.
• Analytical and inventive mindset with a bias for experimentation and rapid iteration.

Tech Stack

• RPA

Benefits

• Specific benefits vary by location
• A job that matters in a dynamic Defence Technology and Earth Observation environment with a scale-up approach
• An independent role with a supportive and diverse work environment
• Occupational healthcare, occupational, and accident insurance
• A yearly benefit budget to spend as you wish (i.e. on sport, transport, bike benefit, wellness, lunch, etc.)
• Phone subscription with iPhone of choice
• Relocation support (i.e. flight tickets, accommodation, relocation agency support)
• Time for self-development, research, training, conferences, or certification schemes
• Inspiring and collaborating offices and silent workspaces enable you to focus