# Hiring a senior leader from outside your sector

> Italian job ads, a meta-analysis of 81 samples and our own client feedback: when sector experience belongs in a senior brief, and what to ask for instead.

- Canonical: https://www.mvrk.xyz/blog/hiring-outside-your-sector
- Published: 2026-10-23
- Author: Matteo Muscio

Should a senior brief require experience in your sector? Rarely as a must-have. Keep it where a regulator sets an experience threshold or the role is unusually complex. Everywhere else, write down the working setting that "sector" stands for, and hire for that.

## What Italian job ads ask for

We collected 88 LinkedIn ads for HR, finance and tech roles at mid-senior level and above in Italy, posted from 20 September to 19 October 2026, from 70 employers and recruitment agencies. Two coders classified each ad independently and agreed on 81. One ad per advertiser:

**Figure: What HR, finance and tech job ads in Italy ask for**

70 employers and agencies advertising HR, finance and tech roles (mid-senior and above), one ad each.

Of 70 advertisers of HR, finance and tech roles at mid-senior level and above in Italy: 8 require a specific industry, 8 prefer one, 26 ask for an industrial or other broad setting, 18 ask only for a type of organisation, 10 ask for none of these.

| What the ad asks for | Advertisers |
| --- | --- |
| A specific industry, required | 8 (11%) |
| A specific industry, preferred | 8 (11%) |
| An industrial or other broad setting | 26 (37%) |
| A type of organisation only | 18 (26%) |
| Nothing of this kind | 10 (14%) |

Source: MVRK coding of 88 LinkedIn ads located in Italy, posted 20 Sep–19 Oct 2026; two independent coders (kappa 0.89). Industry vs setting split by one analyst; setting = 14 required, 12 preferred.

| What the ad asks of the candidate | Advertisers |
|---|---|
| A specific industry, as a requirement | 8 |
| A specific industry, as a preference | 8 |
| An industrial or other broad setting (14 required, 12 preferred) | 26 |
| A type of organisation only (multinational, structured) | 18 |
| Nothing of this kind | 10 |

Six in ten advertisers name a sector or a broad setting, but only 8 of 70 make a specific industry a requirement. Most of the wording describes a kind of workplace: "solid experience in complex industrial contexts", "a multi-site manufacturing background".

## What the market pays, and what it gets

There is a pay premium. In US data that follows young white men through their careers from 1979 to 2000, managers earned 23% more after five years in one industry; five years as a manager added nothing, the estimate being slightly negative (Sullivan, 2010). In large US private-equity buyouts from 2010 to 2016, 82 of the 104 outside CEOs hired had experience in the same industry (Gompers, Kaplan and Mukharlyamov, 2023).

The performance link is weak. A meta-analysis of prior work experience (Van Iddekinge and colleagues, 2019) found a correlation of .06 with job performance across 43 samples. For experience in a particular industry, the figure was also .06 (from only six samples), and -.04 when one outlying study was removed. Put as a probability: pick the candidate with more experience and you get the better performer 52 times in 100. A coin gets 50.

**Figure: More experience, barely better performance**

Pick the more experienced of two hires: how often do they turn out the better performer?

A grid of 100 dots with 52 filled: the more experienced of two hires performs better 52 times in 100.

| Value | Meaning |
| --- | --- |
| 52 | times in 100 |
| 50 | a coin flip |

Source: Van Iddekinge, Arnold, Frieder & Roth, Personnel Psychology 72(4), 2019 (job performance: 43 samples, ρ = .06), converted with Dunlap's (1994) common-language effect size.

## When sector should stay mandatory

Two exceptions are worth keeping. In high-complexity jobs, the same meta-analysis finds a correlation of .16 from 13 samples (.29 from 11 once outliers are removed), which we convert to 55 and 59 in 100; it is also stronger in low-complexity jobs. These figures are for experience in general; the paper does not break complexity down by industry. And in banking, the ECB presumes sufficient experience for a bank CEO after ten years of recent experience in banking or financial services, much of it at senior level.

Sector know-how may also be getting cheaper to acquire: an AI assistant raised the productivity of the least experienced support agents by 34% and changed little for veterans (Brynjolfsson, Li and Raymond, 2025). Since newcomers may miss the tool's errors (European Commission), that argues, to us, for depth in the function.

## What our clients turn candidates down for

We reviewed 6 recent briefs and 177 pieces of client feedback (October 2024 to October 2026), mostly for roles below head level. No brief required the client's own industry; two required a broad class of employer, such as regulated financial services. Of the 107 pieces of feedback that gave a reason, 48 concerned seniority and at least 32 functional skills. Sector came up 3 times, all in senior HR or director searches. Twice it was about a setting: no industrial experience, and no academic or art-and-design background for half of a school-director role. Once a client ruled out whole industries. Separately, a candidate from the client's own sector was held back for lacking plant experience.

Our clearest case is an international logistics group that hired four senior HR leaders through us: group heads of reward and of talent, and HR business partners for headquarters and for a main site. For three of the four roles, the brief asked for people from outside logistics, to bring in practice from other sectors. None knew the sector's specifics on day one: its own collective agreement and grading, its own ways of rewarding over-performance and of attracting talent, and very high volumes. Thin margins make you think in volume. The gap lasted three months at most.

For the fourth role, the site HR business partner, the client strongly preferred logistics experience because of the sector's very aggressive unions. We hired from heavy manufacturing instead: someone used to negotiating pay with union representatives and to walking past a protest at the plant gate.

Elsewhere, a fast-growing Italian tech company wanted its strategic workforce planning lead to come from tech. We showed the client how few people with that skill the Italian tech market held; the discipline is more developed in construction and heavy industry. The client dropped the requirement, and the person hired was still with the company five or six years later.

## Rewrite the brief

In our experience, "from our sector" usually means "from a setting like ours". In manufacturing that often means a largely blue-collar, unionised workforce where practical solutions win. In tech it usually means organisations that have reinvented themselves several times and move fast. Name that setting instead:

> **Before (illustrative):** Mandatory: experience in the logistics sector.
>
> **After:** Mandatory: HR lead for a multi-site operation with a large blue-collar workforce, including negotiations with confrontational unions. Logistics experience is a plus.

Three questions we ask before keeping sector as a must-have:

1. Is the business B2B or B2C, and has the candidate worked in the same kind?
2. Which setting must they already know on day one: blue-collar and unionised, regulated, fast-changing, high-volume?
3. Does a regulator set an experience threshold, or is the role complex enough that a few months of learning is too long?

If the answer to the third question is no, sector belongs among the preferences.

For what to define before a first HR leadership search, see [How to hire your first Head of HR](/blog/how-to-hire-your-first-head-of-hr); for how we run these searches, see [HR executive search in Italy](/hr-executive-search-italy).

## How we got these numbers

Job ads: 146 unique LinkedIn listings, 88 of them located in Italy. Two coders worked from written rules (kappa 0.89); a third read settled 7 disagreements; one analyst then split specific industries from settings. Correlations were converted with Dunlap's (1994) formula. The wage figure measures pay, not performance. Internal figures: Gmail was searched by keyword; 164 of the 177 feedback items are tracker rows, four of six trackers come from one client, phone feedback is not captured, and one reviewer coded them.

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### Sources

- Sullivan, P. (2010). Empirical evidence on occupation and industry specific human capital. Labour Economics 17(3), 567-580. Working paper: https://mpra.ub.uni-muenchen.de/9312/1/MPRA_paper_9312.pdf
- Gompers, P., Kaplan, S. and Mukharlyamov, V. (2023). The Market for CEOs: Evidence from Private Equity. BFI Working Paper 2023-13: https://bfi.uchicago.edu/wp-content/uploads/2023/01/BFI_WP_2023-13.pdf
- Van Iddekinge, C., Arnold, J., Frieder, R. and Roth, P. (2019). A meta-analysis of the criterion-related validity of prehire work experience. Personnel Psychology 72(4), 571-598. [doi:10.1111/peps.12335](https://doi.org/10.1111/peps.12335)
- Brynjolfsson, E., Li, D. and Raymond, L. (2025). Generative AI at Work. Quarterly Journal of Economics 140(2): https://www.nber.org/papers/w31161
- European Commission (13 October 2026). Job quality is a priority in the EU, according to annual Commission report: https://employment-social-affairs.ec.europa.eu/news/job-quality-priority-eu-according-annual-commission-report-2026-10-13_en
- European Central Bank (December 2021). Guide to fit and proper assessments, Table 1.
- Dunlap, W. P. (1994). Generalizing the common language effect size indicator to bivariate normal correlations. Psychological Bulletin 116(3), 509-511.
