The journey so far.

Supporting the HR Manager in end-to-end recruitment, onboarding, and employee relations for a security services provider with 400+ staff. I streamlined the recruitment process, advised on ER cases, and negotiated with vendors. Additionally, I coordinated weekly inductions and further training for colleagues, ensuring compliance with industry regulations.

The image of me as a bouncer is unrelated, but nobody believes me when I mention it...

As a Learning Business Partner, I was tasked with turning high-level C-Suite strategy into global reality for our Marketing, Commercial, Legal, and Finance teams. Projects of note during this time: Leading the procurement of a new LMS, planning its global launch and migration to Cornerstone LMS. Building out personalised learning plans at scale for colleagues in Portugal, and embedding competency profiles throughout the employee lifecycle. This chapter culminated in building a global Media Skills pipeline across three continents, priming our leaders to take the stage at Thrive, the company's first-ever global client conference.

My work in the ESG space allowed me to support 33 critical accounts through facilitated coaching and peer learning set up for Partners. I translated global academic standards into three distinct role-specific learning pathways (Core, Commercial, Expert), ensuring they met the specific demands of UK regulations. By collaborating with SMEs, I helped deliver these updates through a mix of high-production podcasts and virtual sessions. I was selected to be the representative for all 16 Learning Managers in a project aimed at shaping the value chain and proposed Target Operating Model (TOM) for Space to Learn - KPMG's largest investment in L&D. This resulted in a white paper delivered to the Chief L&D Officer and established new SLAs and entirely new roles focused on the commercialisation of our learning products.

An independent R&D initiative that seeks to create the Rosetta Stone for organisational skills taxonomies. The current system ingests raw skill names, enriches each skill across a configurable dimension model, and outputs clean, auditable skill definitions. What began as a prototype to master AI architecture has evolved into a fully orchestrated Python pipeline. The end game being an intelligent workforce planner that respects both business needs, cultural and linguistic nuances and employee ambition.