Strategic sourcing
Talent mapping, pipeline strategy, stakeholder partnership, and hard-to-fill role planning.
I work at the intersection of Talent Acquisition, sourcing strategy, recruitment analytics, and AI-supported market intelligence.
Most recruiting teams have data, but not always the time or structure to turn it into clear priorities. My work connects practical TA experience with analytics, AI, and business-facing communication.
Talent mapping, pipeline strategy, stakeholder partnership, and hard-to-fill role planning.
Lead time, stage duration, applications, candidate quality, and role complexity translated into clear dashboards.
Repeatable workflows that scan, structure, summarize, and package external talent-market signals.
A simple operating model for turning recruitment activity and market noise into leadership-ready decisions.
Build talent maps, pipelines, and sourcing strategies around the roles that matter most.
Analyze hiring data, role demand, market signals, and bottlenecks to identify what needs action.
Package insights into dashboards, reports, and stakeholder recommendations that support decisions.
Each case study shows how I frame a hiring question, analyze the available signals, and turn the work into something stakeholders can understand and use.
An interactive analytics case study using 2,639 recruitment records to reveal volume, lead time, stage patterns, applications, and role complexity.
A management-facing version of the analytics work, structured for recurring hiring reviews and clearer operational follow-up.
An AI-assisted workflow that turns public labour-market updates, company news, role demand, and work-model signals into a weekly executive-style talent market report.
An AI-assisted sourcing workflow that turns a role brief into candidate discovery, source-backed evidence, fit scoring, and review actions.
My current work combines hands-on sourcing experience with data visualization, AI-supported synthesis, automation, and stakeholder-ready reporting.
Experience across agency and in-house environments, with a focus on technology recruitment, sourcing strategy, HR tech, analytics, and responsible AI use in Talent Acquisition.
Strategic talent sourcing for core business areas, Data & Tech, executive search, AI, analytics, and market intelligence.
Recruitment for IoT product development teams and partnership with engineering and product leaders on long-term hiring strategy.
Global technical recruitment across mobile engineering, data engineering, cloud infrastructure, and platform teams.
Foundations across technical recruitment, HR support, candidate experience, employer branding, and digital customer experience.