The global apparel industry experienced a 17% rise in new job postings related to corporate governance in Q3 2022 compared with the previous quarter, according to GlobalData’s whitepaper on Corporate Governance in Apparel – Hiring Activity in Q3 2022. This compares to a 89% increase versus Q3 2021.

Notably, Retail Salespersons jobs accounted for a 5% share of the global apparel industry’s corporate governance-related total new job postings in Q3 2022, up 24% over the prior quarter.

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Retail Salespersons drive corporate governance-related hiring activity

Retail Salespersons, with a share of 5%, emerged as the top corporate governance-related job roles within the apparel industry in Q3 2022, with new job postings rising by 24% quarter-on-quarter. General and Operations Managers came in second with a share of 5% in Q3 2022, with new job postings drop by 26% over the previous quarter.

The other prominent corporate governance roles include Laborers and Material Movers with a 4% share in Q3 2022, Software and Web Developers, Programmers, and Testers with a 3% share of new job postings.

Top five companies in apparel industry accounted for 29% of hiring activity

The top companies, in terms of number of new job postings tracked by GlobalData, as of Q3 2022 were Macy's,, Neiman Marcus Group LTD and Walmart. Together they accounted for a combined share of 29% of all corporate governance-related active jobs in the apparel industry.

Macy's posted 904 corporate governance-related new jobs in Q3 2022, 752 jobs, Neiman Marcus Group LTD 575 jobs, and Walmart 553 jobs, according to GlobalData’s Job Analytics.

Hiring activity was driven by the US with a 72% share of total active job postings, Q3 2022

The largest share of corporate governance-related new job postings in the apparel industry in Q3 2022 was in the US with 72% followed by the UK (9%) and India (4%). The share represented by the US was six percentage points higher than the 66% share it accounted for in Q2 2022.

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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.

GlobalData’s Job Analytics uses machine learning to uncover key insights from tracking daily job postings for thousands of companies globally. Proprietary analysis is used to group jobs into key thematic areas and granular sectors across the world’s largest industries. classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.