Following above very useful comments I like to add that the median should be reported instead of the mean.

The statement "Managers are more likely to arrive late than juniors (H=14.338, p<.01)" is incomplete. The only thing it says is that there is a difference between the groups. It does not specify where the difference lies or what the exact difference is. For that purpose medians are reported. Following the scenario in the question I would recommend rephrasing; On a 5-point likert scale managers reported to be more often late than juniors (H = xx, p < .01, MdnManagers = x, MdnJuniors x = )

The statement "A statistically significant difference (H=14.338, p<.01) exists between late arrivals at work by managers and juniors." is fine, but could be more informative.

Another question that needs to be considered in this example is whether a 5-point Likert scale is a continuous variable or not. There is debate about this. Whether ANOVA or t-test (parametric methods) or Wilcoxon or Kruskal (non-parametric methods), they all require continuous (at least interval) data.

Further information:

Field, A & Miles, J (2010) Discovering Statistics with SAS Ch15.

Wilcox, R (2012) Introduction to Robust Estimation of Hypothesis Testing

Following above very useful comments I like to add that the median should be reported instead of the mean.

The statement "Managers are more likely to arrive late than juniors (H=14.338, p<.01)" is incomplete. The only thing it says is that there is a difference between the groups. It does not specify where the difference lies or what the exact difference is. For that purpose medians are reported. Following the scenario in the question I would recommend rephrasing; On a 5-point likert scale managers reported to be more often late than juniors (H = xx, p < .01, MdnManagers = x, MdnJuniors x = )

The statement "A statistically significant difference (H=14.338, p<.01) exists between late arrivals at work by managers and juniors." is fine, but could be more informative.