FP&A Platform & AI Strategy Lead

Darktrace Holdings; Greater London; Hybrid; GBP 90,000 - 140,000; Full time

Benefits offered by this job

23 days holiday

Birthday day off

Private medical insurance

Job summary

Darktrace is seeking an experienced FP&A technologist to own the platforms behind planning, forecasting and reporting, leading Workday Adaptive Planning and related data. You will drive scalability with best practices from other tools and report to the Director of FP&A.

This hybrid role involves shaping our AI approach in FP&A, delivering AI-assisted forecasting and automated month-end reporting, and training the team with clear documentation. London office two days per week.

Qualifications

• Hands-on experience configuring planning and reporting platforms (5+ years).
• Experience with multiple tools (e.g., Workday Adaptive Planning, Anaplan, Pigment, Planful, Hyperion).
• Strong SQL and data querying skills.
• Experience building BI reports/dashboards (Power BI/Tableau).
• Financial modelling and budgeting/forecasting knowledge.
• Experience applying AI/automation to finance or reporting.

Responsibilities

• Own the design, configuration and daily running of Workday Adaptive Planning.
• Build the platform roadmap and oversee upgrades, testing and releases.
• Manage data integrations between Adaptive, Workday HCM and Financials.
• Deliver AI-enabled FP&A use cases and scalable solutions.

Skills

Workday Adaptive Planning

Anaplan

Pigment

Planful

Hyperion

SQL

Power BI

Tableau

Financial modelling

AI / automation in finance

Communications

Change management

Tools

Workday Adaptive Planning

Workday HCM

Workday Financials

Job description

Darktrace is seeking an experienced FP&A technologist to own the platforms behind planning, forecasting and reporting, leading Workday Adaptive Planning and related data. You will drive scalability with best practices from other tools and report to the Director of FP&A.

This hybrid role involves shaping our AI approach in FP&A, delivering AI-assisted forecasting and automated month-end reporting, and training the team with clear documentation. London office two days per week.